commit 35fe8e09a38ce0538eecf38bc866a69b102f5cb1 Author: ModelHub XC Date: Sun Jun 28 06:31:18 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: fpadovani/eus-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..be6971b --- /dev/null +++ b/README.md @@ -0,0 +1,58 @@ +--- +base_model: fpadovani/eus-latn-10mb-ppt-Dp-10mb_seed3407 +library_name: transformers +model_name: eus-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407 +tags: +- generated_from_trainer +- trl +- sft +licence: license +--- + +# Model Card for eus-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407 + +This model is a fine-tuned version of [fpadovani/eus-latn-10mb-ppt-Dp-10mb_seed3407](https://huggingface.co/fpadovani/eus-latn-10mb-ppt-Dp-10mb_seed3407). +It has been trained using [TRL](https://github.com/huggingface/trl). + +## Quick start + +```python +from transformers import pipeline + +question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" +generator = pipeline("text-generation", model="fpadovani/eus-latn-10mb-after-ppt-Dp-10mb-ckpt500_seed3407", device="cuda") +output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] +print(output["generated_text"]) +``` + +## Training procedure + +[Visualize in Weights & Biases](https://wandb.ai/f-padovani-university-of-groningen/new_tokenizers/runs/3jbgyuwl) + + +This model was trained with SFT. + +### Framework versions + +- TRL: 0.23.0 +- Transformers: 4.56.2 +- Pytorch: 2.11.0 +- Datasets: 4.8.4 +- Tokenizers: 0.22.1 + +## Citations + + + +Cite TRL as: + +```bibtex +@misc{vonwerra2022trl, + title = {{TRL: Transformer Reinforcement Learning}}, + author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, + year = 2020, + journal = {GitHub repository}, + publisher = {GitHub}, + howpublished = {\url{https://github.com/huggingface/trl}} +} +``` \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/added_tokens.json b/checkpoint-1000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1000/config.json b/checkpoint-1000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1000/generation_config.json b/checkpoint-1000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1000/model.safetensors b/checkpoint-1000/model.safetensors new file mode 100644 index 0000000..8d9238a --- /dev/null +++ b/checkpoint-1000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:172f024a9fd1cad070682b1fa149723082fffab9556e90cf0609b9c41d0b28cc +size 78179408 diff --git a/checkpoint-1000/rng_state.pth b/checkpoint-1000/rng_state.pth new file mode 100644 index 0000000..1b5e6a4 --- /dev/null +++ b/checkpoint-1000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63ddbc91ef021fd4369090eb91c709d6afda7b32b5c88b5e124970fb2606c6ed +size 14645 diff --git a/checkpoint-1000/special_tokens_map.json b/checkpoint-1000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1000/spiece.model b/checkpoint-1000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-1000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-1000/tokenizer_config.json b/checkpoint-1000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1000/trainer_state.json b/checkpoint-1000/trainer_state.json new file mode 100644 index 0000000..0b375c8 --- /dev/null +++ b/checkpoint-1000/trainer_state.json @@ -0,0 +1,2056 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.8594757198109153, + "eval_steps": 500, + "global_step": 1000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 408225012940800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1000/training_args.bin b/checkpoint-1000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-1000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-10000/added_tokens.json b/checkpoint-10000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-10000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-10000/config.json b/checkpoint-10000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-10000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-10000/generation_config.json b/checkpoint-10000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-10000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-10000/model.safetensors b/checkpoint-10000/model.safetensors new file mode 100644 index 0000000..b221d5d --- /dev/null +++ b/checkpoint-10000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e3f035cc068c9dde3448d975f0768e27e14903436425d89631b2aab91664722 +size 78179408 diff --git a/checkpoint-10000/rng_state.pth b/checkpoint-10000/rng_state.pth new file mode 100644 index 0000000..b5b5147 --- /dev/null +++ b/checkpoint-10000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91c79d77edb42399fd12fb181da105564c50498cb0ad4f79a3d8f9e7fd7d8796 +size 14645 diff --git a/checkpoint-10000/special_tokens_map.json b/checkpoint-10000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-10000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-10000/spiece.model b/checkpoint-10000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-10000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-10000/tokenizer_config.json b/checkpoint-10000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-10000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-10000/trainer_state.json b/checkpoint-10000/trainer_state.json new file mode 100644 index 0000000..f2e5ce5 --- /dev/null +++ b/checkpoint-10000/trainer_state.json @@ -0,0 +1,20254 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.59131929522991, + "eval_steps": 500, + "global_step": 10000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + }, + { + "entropy": 5.707862997055054, + "epoch": 8.165878813923507, + "grad_norm": 1.5, + "learning_rate": 9.297117626563687e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24201221615076066, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.6367637634277346, + "epoch": 8.170176192522561, + "grad_norm": 1.359375, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24783320277929305, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.614573669433594, + "epoch": 8.174473571121617, + "grad_norm": 1.2734375, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.25507569015026094, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.674180555343628, + "epoch": 8.17877094972067, + "grad_norm": 1.3671875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2445373848080635, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.619296503067017, + "epoch": 8.183068328319726, + "grad_norm": 1.3125, + "learning_rate": 9.219264678327527e-05, + "loss": 4.7775, + "mean_token_accuracy": 0.25314409881830213, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.620535802841187, + "epoch": 8.18736570691878, + "grad_norm": 1.390625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24970700591802597, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.7192747592926025, + "epoch": 8.191663085517835, + "grad_norm": 1.28125, + "learning_rate": 9.180577541342164e-05, + "loss": 4.8815, + "mean_token_accuracy": 0.24280520528554916, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.642719173431397, + "epoch": 8.195960464116888, + "grad_norm": 1.4375, + "learning_rate": 9.161293955196648e-05, + "loss": 4.7757, + "mean_token_accuracy": 0.25748146921396253, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.707903146743774, + "epoch": 8.200257842715944, + "grad_norm": 1.390625, + "learning_rate": 9.142050413455214e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.23902178555727005, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.672132682800293, + "epoch": 8.204555221314997, + "grad_norm": 1.3046875, + "learning_rate": 9.12284695813807e-05, + "loss": 4.8439, + "mean_token_accuracy": 0.25198720693588256, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.658090209960937, + "epoch": 8.208852599914053, + "grad_norm": 1.4609375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.778, + "mean_token_accuracy": 0.2557189479470253, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.621751546859741, + "epoch": 8.213149978513107, + "grad_norm": 1.6796875, + "learning_rate": 9.084560474419701e-05, + "loss": 4.7835, + "mean_token_accuracy": 0.25118696242570876, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.696748685836792, + "epoch": 8.217447357112162, + "grad_norm": 1.484375, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8066, + "mean_token_accuracy": 0.2443075641989708, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.665190410614014, + "epoch": 8.221744735711216, + "grad_norm": 1.515625, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.2463520273566246, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.7112932205200195, + "epoch": 8.226042114310271, + "grad_norm": 1.484375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9087, + "mean_token_accuracy": 0.2336752951145172, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.691789293289185, + "epoch": 8.230339492909325, + "grad_norm": 1.484375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24061028361320497, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.657401275634766, + "epoch": 8.23463687150838, + "grad_norm": 1.5078125, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.2478136107325554, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.613147830963134, + "epoch": 8.238934250107434, + "grad_norm": 1.4609375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.7774, + "mean_token_accuracy": 0.2528875932097435, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.673092412948608, + "epoch": 8.24323162870649, + "grad_norm": 1.34375, + "learning_rate": 8.951826639309257e-05, + "loss": 4.8428, + "mean_token_accuracy": 0.2408193603157997, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.613753366470337, + "epoch": 8.247529007305543, + "grad_norm": 1.484375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.24801580756902694, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.626958703994751, + "epoch": 8.251826385904598, + "grad_norm": 1.4765625, + "learning_rate": 8.914266583627684e-05, + "loss": 4.7602, + "mean_token_accuracy": 0.25679432451725004, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.705102348327637, + "epoch": 8.256123764503652, + "grad_norm": 1.5859375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2392795503139496, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.625812101364136, + "epoch": 8.260421143102707, + "grad_norm": 1.4140625, + "learning_rate": 8.876868863110013e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24406588524580003, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.704039239883423, + "epoch": 8.264718521701761, + "grad_norm": 1.359375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.2442236140370369, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.685574102401733, + "epoch": 8.269015900300817, + "grad_norm": 1.3203125, + "learning_rate": 8.839633804402747e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24362473785877228, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.6750462532043455, + "epoch": 8.27331327889987, + "grad_norm": 1.5234375, + "learning_rate": 8.821077374916647e-05, + "loss": 4.7961, + "mean_token_accuracy": 0.25050569921731947, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.600301933288574, + "epoch": 8.277610657498926, + "grad_norm": 1.46875, + "learning_rate": 8.802561732731654e-05, + "loss": 4.7754, + "mean_token_accuracy": 0.2526980236172676, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.719686460494995, + "epoch": 8.281908036097981, + "grad_norm": 1.3125, + "learning_rate": 8.784086918278534e-05, + "loss": 4.8649, + "mean_token_accuracy": 0.2339397519826889, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.607286500930786, + "epoch": 8.286205414697035, + "grad_norm": 1.359375, + "learning_rate": 8.765652971898908e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.25611190050840377, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.677676486968994, + "epoch": 8.29050279329609, + "grad_norm": 1.5390625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.25352744907140734, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.707070398330688, + "epoch": 8.294800171895144, + "grad_norm": 1.328125, + "learning_rate": 8.728907844280254e-05, + "loss": 4.8851, + "mean_token_accuracy": 0.23950794637203215, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.6442076683044435, + "epoch": 8.2990975504942, + "grad_norm": 1.515625, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24814968705177307, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.645054149627685, + "epoch": 8.303394929093253, + "grad_norm": 1.4609375, + "learning_rate": 8.692326670822207e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2519303172826767, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.663473224639892, + "epoch": 8.307692307692308, + "grad_norm": 1.3984375, + "learning_rate": 8.6740976668077e-05, + "loss": 4.7768, + "mean_token_accuracy": 0.25253538936376574, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.601699924468994, + "epoch": 8.311989686291362, + "grad_norm": 1.6015625, + "learning_rate": 8.655909771039239e-05, + "loss": 4.7722, + "mean_token_accuracy": 0.24630842208862305, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.668028783798218, + "epoch": 8.316287064890417, + "grad_norm": 1.6640625, + "learning_rate": 8.637763023231922e-05, + "loss": 4.8186, + "mean_token_accuracy": 0.2444746106863022, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.5484637260437015, + "epoch": 8.320584443489471, + "grad_norm": 1.46875, + "learning_rate": 8.619657463010987e-05, + "loss": 4.6988, + "mean_token_accuracy": 0.260918502509594, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.722867631912232, + "epoch": 8.324881822088527, + "grad_norm": 1.4921875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.8931, + "mean_token_accuracy": 0.241627100110054, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.686518335342408, + "epoch": 8.32917920068758, + "grad_norm": 1.34375, + "learning_rate": 8.583570063379487e-05, + "loss": 4.8181, + "mean_token_accuracy": 0.24606943130493164, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.644981908798218, + "epoch": 8.333476579286636, + "grad_norm": 1.484375, + "learning_rate": 8.565588302769374e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.24853309392929077, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.598904609680176, + "epoch": 8.33777395788569, + "grad_norm": 1.421875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.785, + "mean_token_accuracy": 0.2558070823550224, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.706678056716919, + "epoch": 8.342071336484745, + "grad_norm": 1.390625, + "learning_rate": 8.529748856285228e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.24797595292329788, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.658598756790161, + "epoch": 8.346368715083798, + "grad_norm": 1.4375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.782, + "mean_token_accuracy": 0.2595686510205269, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.688131809234619, + "epoch": 8.350666093682854, + "grad_norm": 1.5625, + "learning_rate": 8.494075103495245e-05, + "loss": 4.8469, + "mean_token_accuracy": 0.24513275921344757, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.676475381851196, + "epoch": 8.354963472281907, + "grad_norm": 1.390625, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8216, + "mean_token_accuracy": 0.24088364839553833, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.665163183212281, + "epoch": 8.359260850880963, + "grad_norm": 1.3515625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.891, + "mean_token_accuracy": 0.23809681534767152, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.628652429580688, + "epoch": 8.363558229480017, + "grad_norm": 1.234375, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8108, + "mean_token_accuracy": 0.243441666662693, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.656926536560059, + "epoch": 8.367855608079072, + "grad_norm": 1.3359375, + "learning_rate": 8.423225923902608e-05, + "loss": 4.7911, + "mean_token_accuracy": 0.25119892954826356, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.626911640167236, + "epoch": 8.372152986678126, + "grad_norm": 1.4765625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.7294, + "mean_token_accuracy": 0.26259505450725557, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.725198030471802, + "epoch": 8.376450365277181, + "grad_norm": 1.3359375, + "learning_rate": 8.388051115924781e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2378841072320938, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.666871118545532, + "epoch": 8.380747743876235, + "grad_norm": 1.4296875, + "learning_rate": 8.370526292042774e-05, + "loss": 4.7505, + "mean_token_accuracy": 0.2538667440414429, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.587338781356811, + "epoch": 8.38504512247529, + "grad_norm": 1.671875, + "learning_rate": 8.353043239285357e-05, + "loss": 4.7737, + "mean_token_accuracy": 0.2544986054301262, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.640384817123413, + "epoch": 8.389342501074344, + "grad_norm": 1.5546875, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8104, + "mean_token_accuracy": 0.242693130671978, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.6606762409210205, + "epoch": 8.3936398796734, + "grad_norm": 1.3828125, + "learning_rate": 8.318202599757008e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.24492816925048827, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.606284189224243, + "epoch": 8.397937258272453, + "grad_norm": 1.5078125, + "learning_rate": 8.30084508906411e-05, + "loss": 4.7323, + "mean_token_accuracy": 0.2531019449234009, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.618020248413086, + "epoch": 8.402234636871508, + "grad_norm": 1.5078125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8268, + "mean_token_accuracy": 0.24008245319128035, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.642845964431762, + "epoch": 8.406532015470564, + "grad_norm": 1.3671875, + "learning_rate": 8.266255875330095e-05, + "loss": 4.7733, + "mean_token_accuracy": 0.25374836176633836, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.627595281600952, + "epoch": 8.410829394069617, + "grad_norm": 1.4921875, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8114, + "mean_token_accuracy": 0.24691130816936493, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.655184364318847, + "epoch": 8.415126772668673, + "grad_norm": 1.2734375, + "learning_rate": 8.231834656742402e-05, + "loss": 4.8303, + "mean_token_accuracy": 0.24660495668649673, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.6911468505859375, + "epoch": 8.419424151267727, + "grad_norm": 1.4921875, + "learning_rate": 8.214687139638494e-05, + "loss": 4.833, + "mean_token_accuracy": 0.25070433020591737, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.6668381690979, + "epoch": 8.423721529866782, + "grad_norm": 1.5625, + "learning_rate": 8.197581733949597e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.2571685716509819, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.67210898399353, + "epoch": 8.428018908465836, + "grad_norm": 1.5703125, + "learning_rate": 8.180518477027083e-05, + "loss": 4.7963, + "mean_token_accuracy": 0.2531482130289078, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.551906299591065, + "epoch": 8.432316287064891, + "grad_norm": 1.3828125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7097, + "mean_token_accuracy": 0.2613152891397476, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.731686592102051, + "epoch": 8.436613665663945, + "grad_norm": 1.3828125, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9128, + "mean_token_accuracy": 0.23491355329751967, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.651397562026977, + "epoch": 8.440911044263, + "grad_norm": 1.484375, + "learning_rate": 8.129581970990507e-05, + "loss": 4.7678, + "mean_token_accuracy": 0.2589532405138016, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.655478382110596, + "epoch": 8.445208422862054, + "grad_norm": 1.546875, + "learning_rate": 8.11268768080528e-05, + "loss": 4.7926, + "mean_token_accuracy": 0.24893169701099396, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.679694795608521, + "epoch": 8.44950580146111, + "grad_norm": 1.5859375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24183138757944106, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.670652627944946, + "epoch": 8.453803180060163, + "grad_norm": 1.5859375, + "learning_rate": 8.079026139655946e-05, + "loss": 4.8412, + "mean_token_accuracy": 0.24176028072834016, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.590162706375122, + "epoch": 8.458100558659218, + "grad_norm": 1.4296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.7299, + "mean_token_accuracy": 0.2560922592878342, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.63255124092102, + "epoch": 8.462397937258272, + "grad_norm": 1.5859375, + "learning_rate": 8.04553422899167e-05, + "loss": 4.826, + "mean_token_accuracy": 0.24348948746919633, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.6421679019927975, + "epoch": 8.466695315857327, + "grad_norm": 1.3515625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.872, + "mean_token_accuracy": 0.24232618063688277, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.640596628189087, + "epoch": 8.470992694456381, + "grad_norm": 1.4140625, + "learning_rate": 8.01221224134408e-05, + "loss": 4.767, + "mean_token_accuracy": 0.2555935025215149, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.6605424880981445, + "epoch": 8.475290073055437, + "grad_norm": 1.4765625, + "learning_rate": 7.995615059661907e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.24309351146221161, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.669471883773804, + "epoch": 8.47958745165449, + "grad_norm": 1.4609375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.824, + "mean_token_accuracy": 0.24673386365175248, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.629602289199829, + "epoch": 8.483884830253546, + "grad_norm": 1.5390625, + "learning_rate": 7.962548501788811e-05, + "loss": 4.7397, + "mean_token_accuracy": 0.2527197152376175, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.647467613220215, + "epoch": 8.4881822088526, + "grad_norm": 1.484375, + "learning_rate": 7.946079197802028e-05, + "loss": 4.827, + "mean_token_accuracy": 0.23749534040689468, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.648807525634766, + "epoch": 8.492479587451655, + "grad_norm": 1.609375, + "learning_rate": 7.929652591762636e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24475187957286834, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.630274534225464, + "epoch": 8.496776966050708, + "grad_norm": 1.5703125, + "learning_rate": 7.913268719539785e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24791176468133927, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.617410373687744, + "epoch": 8.501074344649764, + "grad_norm": 1.40625, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7157, + "mean_token_accuracy": 0.2596577987074852, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.6985677719116214, + "epoch": 8.505371723248818, + "grad_norm": 1.3359375, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.2542118713259697, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.660664224624634, + "epoch": 8.509669101847873, + "grad_norm": 1.3984375, + "learning_rate": 7.864373863061717e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2512780398130417, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.619579887390136, + "epoch": 8.513966480446927, + "grad_norm": 1.5546875, + "learning_rate": 7.848161282929006e-05, + "loss": 4.7944, + "mean_token_accuracy": 0.24880642294883729, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.679474544525147, + "epoch": 8.518263859045982, + "grad_norm": 1.5, + "learning_rate": 7.831991614557274e-05, + "loss": 4.8348, + "mean_token_accuracy": 0.23917439728975295, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.6579587936401365, + "epoch": 8.522561237645036, + "grad_norm": 1.515625, + "learning_rate": 7.815864893254619e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2455276608467102, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.663690233230591, + "epoch": 8.526858616244091, + "grad_norm": 1.4140625, + "learning_rate": 7.799781154235361e-05, + "loss": 4.8306, + "mean_token_accuracy": 0.24498046338558196, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.722172498703003, + "epoch": 8.531155994843147, + "grad_norm": 1.6015625, + "learning_rate": 7.783740432619954e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.2334560737013817, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.644006681442261, + "epoch": 8.5354533734422, + "grad_norm": 1.4921875, + "learning_rate": 7.767742763434922e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2409740775823593, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.589591312408447, + "epoch": 8.539750752041256, + "grad_norm": 1.4140625, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7222, + "mean_token_accuracy": 0.25535061210393906, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.667737579345703, + "epoch": 8.54404813064031, + "grad_norm": 1.5, + "learning_rate": 7.735876721991945e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24178892970085145, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.685311031341553, + "epoch": 8.548345509239365, + "grad_norm": 1.3203125, + "learning_rate": 7.720008419316708e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24099551886320114, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.613406562805176, + "epoch": 8.552642887838418, + "grad_norm": 1.375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.7478, + "mean_token_accuracy": 0.256206014752388, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.592525625228882, + "epoch": 8.556940266437474, + "grad_norm": 1.3515625, + "learning_rate": 7.688401423308799e-05, + "loss": 4.758, + "mean_token_accuracy": 0.25166425555944444, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.575402688980103, + "epoch": 8.561237645036528, + "grad_norm": 1.5703125, + "learning_rate": 7.672662798993174e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.25995253920555117, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.668489742279053, + "epoch": 8.565535023635583, + "grad_norm": 1.4296875, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8124, + "mean_token_accuracy": 0.24452023208141327, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.618843078613281, + "epoch": 8.569832402234637, + "grad_norm": 1.4140625, + "learning_rate": 7.641315469572841e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.2510646566748619, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.674667453765869, + "epoch": 8.574129780833692, + "grad_norm": 1.3125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8343, + "mean_token_accuracy": 0.24694945514202118, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.677858638763428, + "epoch": 8.578427159432746, + "grad_norm": 1.4375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.9126, + "mean_token_accuracy": 0.23654921650886535, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.656866931915284, + "epoch": 8.582724538031801, + "grad_norm": 1.4609375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.8304, + "mean_token_accuracy": 0.23874644041061402, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.644109725952148, + "epoch": 8.587021916630855, + "grad_norm": 1.515625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.2478152796626091, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.652941131591797, + "epoch": 8.59131929522991, + "grad_norm": 1.578125, + "learning_rate": 7.563706600833737e-05, + "loss": 4.8194, + "mean_token_accuracy": 0.24661646783351898, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.45993368367891, + "eval_loss": 5.879827976226807, + "eval_mean_token_accuracy": 0.1841710262034122, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0477, + "eval_samples_per_second": 1733.145, + "eval_steps_per_second": 216.826, + "step": 10000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4089487254128640.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-10000/training_args.bin b/checkpoint-10000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-10000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-10500/added_tokens.json b/checkpoint-10500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-10500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-10500/config.json b/checkpoint-10500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-10500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-10500/generation_config.json b/checkpoint-10500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-10500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-10500/model.safetensors b/checkpoint-10500/model.safetensors new file mode 100644 index 0000000..d30ff41 --- /dev/null +++ b/checkpoint-10500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7be323f5901f501491b01b1e1555d6c4977574a68fcf9e15b310fec6715a3394 +size 78179408 diff --git a/checkpoint-10500/rng_state.pth b/checkpoint-10500/rng_state.pth new file mode 100644 index 0000000..57901d1 --- /dev/null +++ b/checkpoint-10500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ac8dc317795b69795969ffd0071fd2f06944d60fcce944e67a19a46c3e9d988 +size 14645 diff --git a/checkpoint-10500/special_tokens_map.json b/checkpoint-10500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-10500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-10500/spiece.model b/checkpoint-10500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-10500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-10500/tokenizer_config.json b/checkpoint-10500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-10500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-10500/trainer_state.json b/checkpoint-10500/trainer_state.json new file mode 100644 index 0000000..f509c8e --- /dev/null +++ b/checkpoint-10500/trainer_state.json @@ -0,0 +1,21265 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.020627417275461, + "eval_steps": 500, + "global_step": 10500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + }, + { + "entropy": 5.707862997055054, + "epoch": 8.165878813923507, + "grad_norm": 1.5, + "learning_rate": 9.297117626563687e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24201221615076066, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.6367637634277346, + "epoch": 8.170176192522561, + "grad_norm": 1.359375, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24783320277929305, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.614573669433594, + "epoch": 8.174473571121617, + "grad_norm": 1.2734375, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.25507569015026094, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.674180555343628, + "epoch": 8.17877094972067, + "grad_norm": 1.3671875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2445373848080635, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.619296503067017, + "epoch": 8.183068328319726, + "grad_norm": 1.3125, + "learning_rate": 9.219264678327527e-05, + "loss": 4.7775, + "mean_token_accuracy": 0.25314409881830213, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.620535802841187, + "epoch": 8.18736570691878, + "grad_norm": 1.390625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24970700591802597, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.7192747592926025, + "epoch": 8.191663085517835, + "grad_norm": 1.28125, + "learning_rate": 9.180577541342164e-05, + "loss": 4.8815, + "mean_token_accuracy": 0.24280520528554916, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.642719173431397, + "epoch": 8.195960464116888, + "grad_norm": 1.4375, + "learning_rate": 9.161293955196648e-05, + "loss": 4.7757, + "mean_token_accuracy": 0.25748146921396253, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.707903146743774, + "epoch": 8.200257842715944, + "grad_norm": 1.390625, + "learning_rate": 9.142050413455214e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.23902178555727005, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.672132682800293, + "epoch": 8.204555221314997, + "grad_norm": 1.3046875, + "learning_rate": 9.12284695813807e-05, + "loss": 4.8439, + "mean_token_accuracy": 0.25198720693588256, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.658090209960937, + "epoch": 8.208852599914053, + "grad_norm": 1.4609375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.778, + "mean_token_accuracy": 0.2557189479470253, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.621751546859741, + "epoch": 8.213149978513107, + "grad_norm": 1.6796875, + "learning_rate": 9.084560474419701e-05, + "loss": 4.7835, + "mean_token_accuracy": 0.25118696242570876, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.696748685836792, + "epoch": 8.217447357112162, + "grad_norm": 1.484375, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8066, + "mean_token_accuracy": 0.2443075641989708, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.665190410614014, + "epoch": 8.221744735711216, + "grad_norm": 1.515625, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.2463520273566246, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.7112932205200195, + "epoch": 8.226042114310271, + "grad_norm": 1.484375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9087, + "mean_token_accuracy": 0.2336752951145172, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.691789293289185, + "epoch": 8.230339492909325, + "grad_norm": 1.484375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24061028361320497, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.657401275634766, + "epoch": 8.23463687150838, + "grad_norm": 1.5078125, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.2478136107325554, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.613147830963134, + "epoch": 8.238934250107434, + "grad_norm": 1.4609375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.7774, + "mean_token_accuracy": 0.2528875932097435, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.673092412948608, + "epoch": 8.24323162870649, + "grad_norm": 1.34375, + "learning_rate": 8.951826639309257e-05, + "loss": 4.8428, + "mean_token_accuracy": 0.2408193603157997, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.613753366470337, + "epoch": 8.247529007305543, + "grad_norm": 1.484375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.24801580756902694, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.626958703994751, + "epoch": 8.251826385904598, + "grad_norm": 1.4765625, + "learning_rate": 8.914266583627684e-05, + "loss": 4.7602, + "mean_token_accuracy": 0.25679432451725004, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.705102348327637, + "epoch": 8.256123764503652, + "grad_norm": 1.5859375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2392795503139496, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.625812101364136, + "epoch": 8.260421143102707, + "grad_norm": 1.4140625, + "learning_rate": 8.876868863110013e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24406588524580003, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.704039239883423, + "epoch": 8.264718521701761, + "grad_norm": 1.359375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.2442236140370369, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.685574102401733, + "epoch": 8.269015900300817, + "grad_norm": 1.3203125, + "learning_rate": 8.839633804402747e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24362473785877228, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.6750462532043455, + "epoch": 8.27331327889987, + "grad_norm": 1.5234375, + "learning_rate": 8.821077374916647e-05, + "loss": 4.7961, + "mean_token_accuracy": 0.25050569921731947, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.600301933288574, + "epoch": 8.277610657498926, + "grad_norm": 1.46875, + "learning_rate": 8.802561732731654e-05, + "loss": 4.7754, + "mean_token_accuracy": 0.2526980236172676, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.719686460494995, + "epoch": 8.281908036097981, + "grad_norm": 1.3125, + "learning_rate": 8.784086918278534e-05, + "loss": 4.8649, + "mean_token_accuracy": 0.2339397519826889, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.607286500930786, + "epoch": 8.286205414697035, + "grad_norm": 1.359375, + "learning_rate": 8.765652971898908e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.25611190050840377, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.677676486968994, + "epoch": 8.29050279329609, + "grad_norm": 1.5390625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.25352744907140734, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.707070398330688, + "epoch": 8.294800171895144, + "grad_norm": 1.328125, + "learning_rate": 8.728907844280254e-05, + "loss": 4.8851, + "mean_token_accuracy": 0.23950794637203215, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.6442076683044435, + "epoch": 8.2990975504942, + "grad_norm": 1.515625, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24814968705177307, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.645054149627685, + "epoch": 8.303394929093253, + "grad_norm": 1.4609375, + "learning_rate": 8.692326670822207e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2519303172826767, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.663473224639892, + "epoch": 8.307692307692308, + "grad_norm": 1.3984375, + "learning_rate": 8.6740976668077e-05, + "loss": 4.7768, + "mean_token_accuracy": 0.25253538936376574, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.601699924468994, + "epoch": 8.311989686291362, + "grad_norm": 1.6015625, + "learning_rate": 8.655909771039239e-05, + "loss": 4.7722, + "mean_token_accuracy": 0.24630842208862305, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.668028783798218, + "epoch": 8.316287064890417, + "grad_norm": 1.6640625, + "learning_rate": 8.637763023231922e-05, + "loss": 4.8186, + "mean_token_accuracy": 0.2444746106863022, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.5484637260437015, + "epoch": 8.320584443489471, + "grad_norm": 1.46875, + "learning_rate": 8.619657463010987e-05, + "loss": 4.6988, + "mean_token_accuracy": 0.260918502509594, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.722867631912232, + "epoch": 8.324881822088527, + "grad_norm": 1.4921875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.8931, + "mean_token_accuracy": 0.241627100110054, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.686518335342408, + "epoch": 8.32917920068758, + "grad_norm": 1.34375, + "learning_rate": 8.583570063379487e-05, + "loss": 4.8181, + "mean_token_accuracy": 0.24606943130493164, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.644981908798218, + "epoch": 8.333476579286636, + "grad_norm": 1.484375, + "learning_rate": 8.565588302769374e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.24853309392929077, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.598904609680176, + "epoch": 8.33777395788569, + "grad_norm": 1.421875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.785, + "mean_token_accuracy": 0.2558070823550224, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.706678056716919, + "epoch": 8.342071336484745, + "grad_norm": 1.390625, + "learning_rate": 8.529748856285228e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.24797595292329788, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.658598756790161, + "epoch": 8.346368715083798, + "grad_norm": 1.4375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.782, + "mean_token_accuracy": 0.2595686510205269, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.688131809234619, + "epoch": 8.350666093682854, + "grad_norm": 1.5625, + "learning_rate": 8.494075103495245e-05, + "loss": 4.8469, + "mean_token_accuracy": 0.24513275921344757, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.676475381851196, + "epoch": 8.354963472281907, + "grad_norm": 1.390625, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8216, + "mean_token_accuracy": 0.24088364839553833, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.665163183212281, + "epoch": 8.359260850880963, + "grad_norm": 1.3515625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.891, + "mean_token_accuracy": 0.23809681534767152, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.628652429580688, + "epoch": 8.363558229480017, + "grad_norm": 1.234375, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8108, + "mean_token_accuracy": 0.243441666662693, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.656926536560059, + "epoch": 8.367855608079072, + "grad_norm": 1.3359375, + "learning_rate": 8.423225923902608e-05, + "loss": 4.7911, + "mean_token_accuracy": 0.25119892954826356, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.626911640167236, + "epoch": 8.372152986678126, + "grad_norm": 1.4765625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.7294, + "mean_token_accuracy": 0.26259505450725557, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.725198030471802, + "epoch": 8.376450365277181, + "grad_norm": 1.3359375, + "learning_rate": 8.388051115924781e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2378841072320938, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.666871118545532, + "epoch": 8.380747743876235, + "grad_norm": 1.4296875, + "learning_rate": 8.370526292042774e-05, + "loss": 4.7505, + "mean_token_accuracy": 0.2538667440414429, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.587338781356811, + "epoch": 8.38504512247529, + "grad_norm": 1.671875, + "learning_rate": 8.353043239285357e-05, + "loss": 4.7737, + "mean_token_accuracy": 0.2544986054301262, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.640384817123413, + "epoch": 8.389342501074344, + "grad_norm": 1.5546875, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8104, + "mean_token_accuracy": 0.242693130671978, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.6606762409210205, + "epoch": 8.3936398796734, + "grad_norm": 1.3828125, + "learning_rate": 8.318202599757008e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.24492816925048827, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.606284189224243, + "epoch": 8.397937258272453, + "grad_norm": 1.5078125, + "learning_rate": 8.30084508906411e-05, + "loss": 4.7323, + "mean_token_accuracy": 0.2531019449234009, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.618020248413086, + "epoch": 8.402234636871508, + "grad_norm": 1.5078125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8268, + "mean_token_accuracy": 0.24008245319128035, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.642845964431762, + "epoch": 8.406532015470564, + "grad_norm": 1.3671875, + "learning_rate": 8.266255875330095e-05, + "loss": 4.7733, + "mean_token_accuracy": 0.25374836176633836, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.627595281600952, + "epoch": 8.410829394069617, + "grad_norm": 1.4921875, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8114, + "mean_token_accuracy": 0.24691130816936493, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.655184364318847, + "epoch": 8.415126772668673, + "grad_norm": 1.2734375, + "learning_rate": 8.231834656742402e-05, + "loss": 4.8303, + "mean_token_accuracy": 0.24660495668649673, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.6911468505859375, + "epoch": 8.419424151267727, + "grad_norm": 1.4921875, + "learning_rate": 8.214687139638494e-05, + "loss": 4.833, + "mean_token_accuracy": 0.25070433020591737, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.6668381690979, + "epoch": 8.423721529866782, + "grad_norm": 1.5625, + "learning_rate": 8.197581733949597e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.2571685716509819, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.67210898399353, + "epoch": 8.428018908465836, + "grad_norm": 1.5703125, + "learning_rate": 8.180518477027083e-05, + "loss": 4.7963, + "mean_token_accuracy": 0.2531482130289078, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.551906299591065, + "epoch": 8.432316287064891, + "grad_norm": 1.3828125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7097, + "mean_token_accuracy": 0.2613152891397476, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.731686592102051, + "epoch": 8.436613665663945, + "grad_norm": 1.3828125, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9128, + "mean_token_accuracy": 0.23491355329751967, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.651397562026977, + "epoch": 8.440911044263, + "grad_norm": 1.484375, + "learning_rate": 8.129581970990507e-05, + "loss": 4.7678, + "mean_token_accuracy": 0.2589532405138016, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.655478382110596, + "epoch": 8.445208422862054, + "grad_norm": 1.546875, + "learning_rate": 8.11268768080528e-05, + "loss": 4.7926, + "mean_token_accuracy": 0.24893169701099396, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.679694795608521, + "epoch": 8.44950580146111, + "grad_norm": 1.5859375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24183138757944106, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.670652627944946, + "epoch": 8.453803180060163, + "grad_norm": 1.5859375, + "learning_rate": 8.079026139655946e-05, + "loss": 4.8412, + "mean_token_accuracy": 0.24176028072834016, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.590162706375122, + "epoch": 8.458100558659218, + "grad_norm": 1.4296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.7299, + "mean_token_accuracy": 0.2560922592878342, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.63255124092102, + "epoch": 8.462397937258272, + "grad_norm": 1.5859375, + "learning_rate": 8.04553422899167e-05, + "loss": 4.826, + "mean_token_accuracy": 0.24348948746919633, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.6421679019927975, + "epoch": 8.466695315857327, + "grad_norm": 1.3515625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.872, + "mean_token_accuracy": 0.24232618063688277, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.640596628189087, + "epoch": 8.470992694456381, + "grad_norm": 1.4140625, + "learning_rate": 8.01221224134408e-05, + "loss": 4.767, + "mean_token_accuracy": 0.2555935025215149, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.6605424880981445, + "epoch": 8.475290073055437, + "grad_norm": 1.4765625, + "learning_rate": 7.995615059661907e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.24309351146221161, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.669471883773804, + "epoch": 8.47958745165449, + "grad_norm": 1.4609375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.824, + "mean_token_accuracy": 0.24673386365175248, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.629602289199829, + "epoch": 8.483884830253546, + "grad_norm": 1.5390625, + "learning_rate": 7.962548501788811e-05, + "loss": 4.7397, + "mean_token_accuracy": 0.2527197152376175, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.647467613220215, + "epoch": 8.4881822088526, + "grad_norm": 1.484375, + "learning_rate": 7.946079197802028e-05, + "loss": 4.827, + "mean_token_accuracy": 0.23749534040689468, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.648807525634766, + "epoch": 8.492479587451655, + "grad_norm": 1.609375, + "learning_rate": 7.929652591762636e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24475187957286834, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.630274534225464, + "epoch": 8.496776966050708, + "grad_norm": 1.5703125, + "learning_rate": 7.913268719539785e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24791176468133927, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.617410373687744, + "epoch": 8.501074344649764, + "grad_norm": 1.40625, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7157, + "mean_token_accuracy": 0.2596577987074852, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.6985677719116214, + "epoch": 8.505371723248818, + "grad_norm": 1.3359375, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.2542118713259697, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.660664224624634, + "epoch": 8.509669101847873, + "grad_norm": 1.3984375, + "learning_rate": 7.864373863061717e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2512780398130417, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.619579887390136, + "epoch": 8.513966480446927, + "grad_norm": 1.5546875, + "learning_rate": 7.848161282929006e-05, + "loss": 4.7944, + "mean_token_accuracy": 0.24880642294883729, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.679474544525147, + "epoch": 8.518263859045982, + "grad_norm": 1.5, + "learning_rate": 7.831991614557274e-05, + "loss": 4.8348, + "mean_token_accuracy": 0.23917439728975295, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.6579587936401365, + "epoch": 8.522561237645036, + "grad_norm": 1.515625, + "learning_rate": 7.815864893254619e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2455276608467102, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.663690233230591, + "epoch": 8.526858616244091, + "grad_norm": 1.4140625, + "learning_rate": 7.799781154235361e-05, + "loss": 4.8306, + "mean_token_accuracy": 0.24498046338558196, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.722172498703003, + "epoch": 8.531155994843147, + "grad_norm": 1.6015625, + "learning_rate": 7.783740432619954e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.2334560737013817, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.644006681442261, + "epoch": 8.5354533734422, + "grad_norm": 1.4921875, + "learning_rate": 7.767742763434922e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2409740775823593, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.589591312408447, + "epoch": 8.539750752041256, + "grad_norm": 1.4140625, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7222, + "mean_token_accuracy": 0.25535061210393906, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.667737579345703, + "epoch": 8.54404813064031, + "grad_norm": 1.5, + "learning_rate": 7.735876721991945e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24178892970085145, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.685311031341553, + "epoch": 8.548345509239365, + "grad_norm": 1.3203125, + "learning_rate": 7.720008419316708e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24099551886320114, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.613406562805176, + "epoch": 8.552642887838418, + "grad_norm": 1.375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.7478, + "mean_token_accuracy": 0.256206014752388, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.592525625228882, + "epoch": 8.556940266437474, + "grad_norm": 1.3515625, + "learning_rate": 7.688401423308799e-05, + "loss": 4.758, + "mean_token_accuracy": 0.25166425555944444, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.575402688980103, + "epoch": 8.561237645036528, + "grad_norm": 1.5703125, + "learning_rate": 7.672662798993174e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.25995253920555117, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.668489742279053, + "epoch": 8.565535023635583, + "grad_norm": 1.4296875, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8124, + "mean_token_accuracy": 0.24452023208141327, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.618843078613281, + "epoch": 8.569832402234637, + "grad_norm": 1.4140625, + "learning_rate": 7.641315469572841e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.2510646566748619, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.674667453765869, + "epoch": 8.574129780833692, + "grad_norm": 1.3125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8343, + "mean_token_accuracy": 0.24694945514202118, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.677858638763428, + "epoch": 8.578427159432746, + "grad_norm": 1.4375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.9126, + "mean_token_accuracy": 0.23654921650886535, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.656866931915284, + "epoch": 8.582724538031801, + "grad_norm": 1.4609375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.8304, + "mean_token_accuracy": 0.23874644041061402, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.644109725952148, + "epoch": 8.587021916630855, + "grad_norm": 1.515625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.2478152796626091, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.652941131591797, + "epoch": 8.59131929522991, + "grad_norm": 1.578125, + "learning_rate": 7.563706600833737e-05, + "loss": 4.8194, + "mean_token_accuracy": 0.24661646783351898, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.45993368367891, + "eval_loss": 5.879827976226807, + "eval_mean_token_accuracy": 0.1841710262034122, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0477, + "eval_samples_per_second": 1733.145, + "eval_steps_per_second": 216.826, + "step": 10000 + }, + { + "entropy": 5.582108640670777, + "epoch": 8.595616673828964, + "grad_norm": 1.6484375, + "learning_rate": 7.548315290675886e-05, + "loss": 4.7544, + "mean_token_accuracy": 0.2536217987537384, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.594784164428711, + "epoch": 8.59991405242802, + "grad_norm": 1.375, + "learning_rate": 7.532967547022825e-05, + "loss": 4.7644, + "mean_token_accuracy": 0.25198703110218046, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.632088756561279, + "epoch": 8.604211431027073, + "grad_norm": 1.515625, + "learning_rate": 7.517663403387874e-05, + "loss": 4.8489, + "mean_token_accuracy": 0.24825350791215897, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.578985023498535, + "epoch": 8.608508809626128, + "grad_norm": 1.4765625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.7289, + "mean_token_accuracy": 0.25674757063388826, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.71737813949585, + "epoch": 8.612806188225182, + "grad_norm": 1.328125, + "learning_rate": 7.487186049749618e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.2366224303841591, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.631614637374878, + "epoch": 8.617103566824238, + "grad_norm": 1.40625, + "learning_rate": 7.472012906296658e-05, + "loss": 4.7979, + "mean_token_accuracy": 0.24905427694320678, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.615096664428711, + "epoch": 8.621400945423291, + "grad_norm": 1.2265625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.7738, + "mean_token_accuracy": 0.2522251158952713, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.646911573410034, + "epoch": 8.625698324022347, + "grad_norm": 1.4609375, + "learning_rate": 7.441797851783402e-05, + "loss": 4.8238, + "mean_token_accuracy": 0.2428828716278076, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.627325582504272, + "epoch": 8.6299957026214, + "grad_norm": 1.515625, + "learning_rate": 7.426756006700716e-05, + "loss": 4.7666, + "mean_token_accuracy": 0.25277192890644073, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.686093473434449, + "epoch": 8.634293081220456, + "grad_norm": 1.5703125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.889, + "mean_token_accuracy": 0.24558345079421998, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.702205467224121, + "epoch": 8.63859045981951, + "grad_norm": 1.4765625, + "learning_rate": 7.396803845110032e-05, + "loss": 4.8488, + "mean_token_accuracy": 0.25144137591123583, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.66311354637146, + "epoch": 8.642887838418565, + "grad_norm": 1.4453125, + "learning_rate": 7.381893594005585e-05, + "loss": 4.8137, + "mean_token_accuracy": 0.24637157917022706, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.6392535209655765, + "epoch": 8.647185217017618, + "grad_norm": 1.453125, + "learning_rate": 7.367027272804387e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24758926182985305, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.656706380844116, + "epoch": 8.651482595616674, + "grad_norm": 1.3984375, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.24841432571411132, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.6700053215026855, + "epoch": 8.65577997421573, + "grad_norm": 1.2265625, + "learning_rate": 7.337426549864175e-05, + "loss": 4.8512, + "mean_token_accuracy": 0.24023033082485198, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.655622768402099, + "epoch": 8.660077352814783, + "grad_norm": 1.2890625, + "learning_rate": 7.322692212761306e-05, + "loss": 4.8588, + "mean_token_accuracy": 0.24819429963827133, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.672299194335937, + "epoch": 8.664374731413837, + "grad_norm": 1.5234375, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8068, + "mean_token_accuracy": 0.24570150524377823, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.6919238567352295, + "epoch": 8.668672110012892, + "grad_norm": 1.46875, + "learning_rate": 7.29335574815948e-05, + "loss": 4.7831, + "mean_token_accuracy": 0.24971666783094407, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.647150468826294, + "epoch": 8.672969488611947, + "grad_norm": 1.3046875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8084, + "mean_token_accuracy": 0.2445070579648018, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.6693848133087155, + "epoch": 8.677266867211001, + "grad_norm": 1.4765625, + "learning_rate": 7.264195776399386e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2455286830663681, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.631603240966797, + "epoch": 8.681564245810057, + "grad_norm": 1.390625, + "learning_rate": 7.249682054987381e-05, + "loss": 4.7488, + "mean_token_accuracy": 0.25079986453056335, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.709641027450561, + "epoch": 8.68586162440911, + "grad_norm": 1.34375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.23537713289260864, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.6438311576843265, + "epoch": 8.690159003008166, + "grad_norm": 1.3984375, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8076, + "mean_token_accuracy": 0.2504834607243538, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.618740224838257, + "epoch": 8.69445638160722, + "grad_norm": 1.5234375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7024, + "mean_token_accuracy": 0.25854243636131286, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.633188009262085, + "epoch": 8.698753760206275, + "grad_norm": 1.4296875, + "learning_rate": 7.192069670816359e-05, + "loss": 4.8576, + "mean_token_accuracy": 0.241273033618927, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.624459218978882, + "epoch": 8.703051138805328, + "grad_norm": 1.59375, + "learning_rate": 7.177777357395912e-05, + "loss": 4.7869, + "mean_token_accuracy": 0.2525374382734299, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.629094934463501, + "epoch": 8.707348517404384, + "grad_norm": 1.4765625, + "learning_rate": 7.163529419587002e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.24723465293645858, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.711287641525269, + "epoch": 8.711645896003438, + "grad_norm": 1.421875, + "learning_rate": 7.149325888501418e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24357055127620697, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.641200685501099, + "epoch": 8.715943274602493, + "grad_norm": 1.3515625, + "learning_rate": 7.135166795153992e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2550801619887352, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.671554136276245, + "epoch": 8.720240653201547, + "grad_norm": 1.453125, + "learning_rate": 7.121052170462541e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24792980551719665, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.579294300079345, + "epoch": 8.724538031800602, + "grad_norm": 1.5390625, + "learning_rate": 7.106982045247754e-05, + "loss": 4.6967, + "mean_token_accuracy": 0.26570699363946915, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.6380534172058105, + "epoch": 8.728835410399656, + "grad_norm": 1.3984375, + "learning_rate": 7.092956450233162e-05, + "loss": 4.8613, + "mean_token_accuracy": 0.2413666471838951, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.6795158863067625, + "epoch": 8.733132788998711, + "grad_norm": 1.3203125, + "learning_rate": 7.078975416045055e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.2507988974452019, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.592861557006836, + "epoch": 8.737430167597765, + "grad_norm": 1.6484375, + "learning_rate": 7.065038973212424e-05, + "loss": 4.6759, + "mean_token_accuracy": 0.260982346534729, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.639511489868164, + "epoch": 8.74172754619682, + "grad_norm": 1.5703125, + "learning_rate": 7.051147152166896e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.252939784526825, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.585833978652954, + "epoch": 8.746024924795874, + "grad_norm": 1.2265625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.7762, + "mean_token_accuracy": 0.25288844257593157, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.6570563316345215, + "epoch": 8.75032230339493, + "grad_norm": 1.4140625, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8169, + "mean_token_accuracy": 0.24400742948055268, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.645201253890991, + "epoch": 8.754619681993983, + "grad_norm": 1.296875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.7747, + "mean_token_accuracy": 0.25545826405286787, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.678719329833984, + "epoch": 8.758917060593038, + "grad_norm": 1.40625, + "learning_rate": 6.996026691076531e-05, + "loss": 4.9283, + "mean_token_accuracy": 0.2372728779911995, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.646335554122925, + "epoch": 8.763214439192092, + "grad_norm": 1.390625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.7396, + "mean_token_accuracy": 0.2493108794093132, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.754535675048828, + "epoch": 8.767511817791148, + "grad_norm": 1.453125, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23316902965307235, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.613467741012573, + "epoch": 8.771809196390201, + "grad_norm": 1.4375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2547129586338997, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.715860271453858, + "epoch": 8.776106574989257, + "grad_norm": 1.4609375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.8939, + "mean_token_accuracy": 0.2358478605747223, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.6053954601287845, + "epoch": 8.780403953588312, + "grad_norm": 1.484375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.7973, + "mean_token_accuracy": 0.24966762959957123, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.650966930389404, + "epoch": 8.784701332187366, + "grad_norm": 1.4921875, + "learning_rate": 6.914689765206899e-05, + "loss": 4.722, + "mean_token_accuracy": 0.2569688901305199, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.668413829803467, + "epoch": 8.78899871078642, + "grad_norm": 1.5546875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25286874175071716, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.673072862625122, + "epoch": 8.793296089385475, + "grad_norm": 1.2265625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.8267, + "mean_token_accuracy": 0.24095726311206817, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.602101993560791, + "epoch": 8.79759346798453, + "grad_norm": 1.3984375, + "learning_rate": 6.874627729967086e-05, + "loss": 4.7614, + "mean_token_accuracy": 0.25367412269115447, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.634996032714843, + "epoch": 8.801890846583584, + "grad_norm": 1.3125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.25228522568941114, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.583075428009034, + "epoch": 8.80618822518264, + "grad_norm": 1.53125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.762, + "mean_token_accuracy": 0.25409252345561983, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.593589639663696, + "epoch": 8.810485603781693, + "grad_norm": 1.4765625, + "learning_rate": 6.834971032259537e-05, + "loss": 4.7551, + "mean_token_accuracy": 0.24724589586257933, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.59733476638794, + "epoch": 8.814782982380748, + "grad_norm": 1.5234375, + "learning_rate": 6.821842342962786e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.2560932472348213, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.605298137664795, + "epoch": 8.819080360979802, + "grad_norm": 1.453125, + "learning_rate": 6.808758806497375e-05, + "loss": 4.7547, + "mean_token_accuracy": 0.25770940631628036, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.668881273269653, + "epoch": 8.823377739578858, + "grad_norm": 1.4921875, + "learning_rate": 6.795720451432509e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2539924278855324, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.653170919418335, + "epoch": 8.827675118177911, + "grad_norm": 1.3359375, + "learning_rate": 6.782727306238749e-05, + "loss": 4.8899, + "mean_token_accuracy": 0.23995666801929474, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.571465110778808, + "epoch": 8.831972496776967, + "grad_norm": 1.578125, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.2465637966990471, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.609991598129272, + "epoch": 8.83626987537602, + "grad_norm": 1.40625, + "learning_rate": 6.756876758853104e-05, + "loss": 4.7832, + "mean_token_accuracy": 0.24858400970697403, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.614251518249512, + "epoch": 8.840567253975076, + "grad_norm": 1.671875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25418430119752883, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.661041927337647, + "epoch": 8.84486463257413, + "grad_norm": 1.453125, + "learning_rate": 6.731207390129366e-05, + "loss": 4.8443, + "mean_token_accuracy": 0.23748955130577087, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.648515462875366, + "epoch": 8.849162011173185, + "grad_norm": 1.265625, + "learning_rate": 6.7184407178921e-05, + "loss": 4.8226, + "mean_token_accuracy": 0.25025610327720643, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.668762063980102, + "epoch": 8.853459389772238, + "grad_norm": 1.5390625, + "learning_rate": 6.70571942427399e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24509814977645875, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.696825885772705, + "epoch": 8.857756768371294, + "grad_norm": 1.484375, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9, + "mean_token_accuracy": 0.23831938505172728, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.636625862121582, + "epoch": 8.862054146970348, + "grad_norm": 1.4453125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2473379299044609, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.678902578353882, + "epoch": 8.866351525569403, + "grad_norm": 1.34375, + "learning_rate": 6.667828092420977e-05, + "loss": 4.8471, + "mean_token_accuracy": 0.24866860657930373, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.607882404327393, + "epoch": 8.870648904168457, + "grad_norm": 1.375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.7921, + "mean_token_accuracy": 0.254789824783802, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.594926452636718, + "epoch": 8.874946282767512, + "grad_norm": 1.375, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.24797703474760055, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.618593168258667, + "epoch": 8.879243661366566, + "grad_norm": 1.3984375, + "learning_rate": 6.630346162204069e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.2526925429701805, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.6028295993804935, + "epoch": 8.883541039965621, + "grad_norm": 1.6484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.6939, + "mean_token_accuracy": 0.25986738353967664, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.710940647125244, + "epoch": 8.887838418564675, + "grad_norm": 1.6171875, + "learning_rate": 6.605586018168558e-05, + "loss": 4.81, + "mean_token_accuracy": 0.24979257434606553, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.683839225769043, + "epoch": 8.89213579716373, + "grad_norm": 1.34375, + "learning_rate": 6.593274370232191e-05, + "loss": 4.8327, + "mean_token_accuracy": 0.2464034602046013, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.628410482406617, + "epoch": 8.896433175762784, + "grad_norm": 1.3359375, + "learning_rate": 6.581008374228255e-05, + "loss": 4.7908, + "mean_token_accuracy": 0.2461797282099724, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.622152996063233, + "epoch": 8.90073055436184, + "grad_norm": 1.4296875, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8165, + "mean_token_accuracy": 0.2465150237083435, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6243490219116214, + "epoch": 8.905027932960895, + "grad_norm": 1.359375, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7228, + "mean_token_accuracy": 0.25819993317127227, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.675375461578369, + "epoch": 8.909325311559948, + "grad_norm": 1.3515625, + "learning_rate": 6.544484565152577e-05, + "loss": 4.7937, + "mean_token_accuracy": 0.2524940297007561, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.635634279251098, + "epoch": 8.913622690159002, + "grad_norm": 1.65625, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8251, + "mean_token_accuracy": 0.24945158213377, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.646540689468384, + "epoch": 8.917920068758058, + "grad_norm": 1.265625, + "learning_rate": 6.520364107143898e-05, + "loss": 4.8436, + "mean_token_accuracy": 0.24798599183559417, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.6593023300170895, + "epoch": 8.922217447357113, + "grad_norm": 1.375, + "learning_rate": 6.50837258170615e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24874897450208663, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.668875980377197, + "epoch": 8.926514825956167, + "grad_norm": 1.3984375, + "learning_rate": 6.496426893592397e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.2391132190823555, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.667122745513916, + "epoch": 8.930812204555222, + "grad_norm": 1.5234375, + "learning_rate": 6.484527068887258e-05, + "loss": 4.8371, + "mean_token_accuracy": 0.24273379147052765, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.638441038131714, + "epoch": 8.935109583154276, + "grad_norm": 1.546875, + "learning_rate": 6.472673133575181e-05, + "loss": 4.7597, + "mean_token_accuracy": 0.24820929765701294, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.664800548553467, + "epoch": 8.939406961753331, + "grad_norm": 1.5, + "learning_rate": 6.460865113540437e-05, + "loss": 4.7591, + "mean_token_accuracy": 0.25227137207984923, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.680027961730957, + "epoch": 8.943704340352385, + "grad_norm": 1.40625, + "learning_rate": 6.449103034567011e-05, + "loss": 4.7592, + "mean_token_accuracy": 0.2561339348554611, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.664671468734741, + "epoch": 8.94800171895144, + "grad_norm": 1.484375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.861, + "mean_token_accuracy": 0.240652696788311, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.666413927078247, + "epoch": 8.952299097550494, + "grad_norm": 1.5078125, + "learning_rate": 6.425716802438479e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.24916145354509353, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.626944637298584, + "epoch": 8.95659647614955, + "grad_norm": 1.53125, + "learning_rate": 6.414092700349548e-05, + "loss": 4.804, + "mean_token_accuracy": 0.25158223062753676, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.677120351791382, + "epoch": 8.960893854748603, + "grad_norm": 1.453125, + "learning_rate": 6.402514641454192e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23440527617931367, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.629398536682129, + "epoch": 8.965191233347658, + "grad_norm": 1.3515625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24613251239061357, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.608459091186523, + "epoch": 8.969488611946712, + "grad_norm": 1.59375, + "learning_rate": 6.379496754271044e-05, + "loss": 4.6478, + "mean_token_accuracy": 0.2624844193458557, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.566482067108154, + "epoch": 8.973785990545768, + "grad_norm": 1.5703125, + "learning_rate": 6.368056976245107e-05, + "loss": 4.6832, + "mean_token_accuracy": 0.27008168697357177, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.61891360282898, + "epoch": 8.978083369144821, + "grad_norm": 1.546875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.7809, + "mean_token_accuracy": 0.24728458374738693, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.63971700668335, + "epoch": 8.982380747743877, + "grad_norm": 1.515625, + "learning_rate": 6.345315876223977e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.25158697068691255, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.617656993865967, + "epoch": 8.98667812634293, + "grad_norm": 1.4765625, + "learning_rate": 6.334014603886256e-05, + "loss": 4.8081, + "mean_token_accuracy": 0.25301000475883484, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.6047585010528564, + "epoch": 8.990975504941986, + "grad_norm": 1.5546875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.7627, + "mean_token_accuracy": 0.24849656075239182, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.575642251968384, + "epoch": 8.99527288354104, + "grad_norm": 1.4375, + "learning_rate": 6.311550737943753e-05, + "loss": 4.7483, + "mean_token_accuracy": 0.257401143014431, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.665790462493897, + "epoch": 8.999570262140095, + "grad_norm": 1.4296875, + "learning_rate": 6.300388193391075e-05, + "loss": 4.8158, + "mean_token_accuracy": 0.24791148900985718, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.64085324605306, + "epoch": 9.003437902879243, + "grad_norm": 1.390625, + "learning_rate": 6.289271940317174e-05, + "loss": 4.8769, + "mean_token_accuracy": 0.2419930464691586, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.6130658149719235, + "epoch": 9.007735281478299, + "grad_norm": 1.4375, + "learning_rate": 6.278202002995497e-05, + "loss": 4.7878, + "mean_token_accuracy": 0.25171366333961487, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.610973453521728, + "epoch": 9.012032660077352, + "grad_norm": 1.5078125, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7215, + "mean_token_accuracy": 0.2603663995862007, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.675764322280884, + "epoch": 9.016330038676408, + "grad_norm": 1.453125, + "learning_rate": 6.256201172196921e-05, + "loss": 4.7783, + "mean_token_accuracy": 0.25133358389139177, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.640312767028808, + "epoch": 9.020627417275461, + "grad_norm": 1.390625, + "learning_rate": 6.245270326761034e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.2465323805809021, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.4709870262188955, + "eval_loss": 5.88071870803833, + "eval_mean_token_accuracy": 0.18410248618136654, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0494, + "eval_samples_per_second": 1731.732, + "eval_steps_per_second": 216.649, + "step": 10500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4296982593761280.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-10500/training_args.bin b/checkpoint-10500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-10500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-11000/added_tokens.json b/checkpoint-11000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11000/config.json b/checkpoint-11000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11000/generation_config.json b/checkpoint-11000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11000/model.safetensors b/checkpoint-11000/model.safetensors new file mode 100644 index 0000000..375cb92 --- /dev/null +++ b/checkpoint-11000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15276cd0b7dc4d1d3106af2a42e17da1eec7c0b67d1141e78d28697a41202e2c +size 78179408 diff --git a/checkpoint-11000/rng_state.pth b/checkpoint-11000/rng_state.pth new file mode 100644 index 0000000..c089526 --- /dev/null +++ b/checkpoint-11000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88805fb939487e041e93aeb2a6a4368172006ff55ed8f20c040ab5b4160d328f +size 14645 diff --git a/checkpoint-11000/special_tokens_map.json b/checkpoint-11000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11000/spiece.model b/checkpoint-11000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11000/tokenizer_config.json b/checkpoint-11000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11000/trainer_state.json b/checkpoint-11000/trainer_state.json new file mode 100644 index 0000000..0fb623f --- /dev/null +++ b/checkpoint-11000/trainer_state.json @@ -0,0 +1,22276 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.45036527718092, + "eval_steps": 500, + "global_step": 11000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + }, + { + "entropy": 5.707862997055054, + "epoch": 8.165878813923507, + "grad_norm": 1.5, + "learning_rate": 9.297117626563687e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24201221615076066, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.6367637634277346, + "epoch": 8.170176192522561, + "grad_norm": 1.359375, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24783320277929305, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.614573669433594, + "epoch": 8.174473571121617, + "grad_norm": 1.2734375, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.25507569015026094, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.674180555343628, + "epoch": 8.17877094972067, + "grad_norm": 1.3671875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2445373848080635, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.619296503067017, + "epoch": 8.183068328319726, + "grad_norm": 1.3125, + "learning_rate": 9.219264678327527e-05, + "loss": 4.7775, + "mean_token_accuracy": 0.25314409881830213, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.620535802841187, + "epoch": 8.18736570691878, + "grad_norm": 1.390625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24970700591802597, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.7192747592926025, + "epoch": 8.191663085517835, + "grad_norm": 1.28125, + "learning_rate": 9.180577541342164e-05, + "loss": 4.8815, + "mean_token_accuracy": 0.24280520528554916, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.642719173431397, + "epoch": 8.195960464116888, + "grad_norm": 1.4375, + "learning_rate": 9.161293955196648e-05, + "loss": 4.7757, + "mean_token_accuracy": 0.25748146921396253, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.707903146743774, + "epoch": 8.200257842715944, + "grad_norm": 1.390625, + "learning_rate": 9.142050413455214e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.23902178555727005, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.672132682800293, + "epoch": 8.204555221314997, + "grad_norm": 1.3046875, + "learning_rate": 9.12284695813807e-05, + "loss": 4.8439, + "mean_token_accuracy": 0.25198720693588256, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.658090209960937, + "epoch": 8.208852599914053, + "grad_norm": 1.4609375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.778, + "mean_token_accuracy": 0.2557189479470253, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.621751546859741, + "epoch": 8.213149978513107, + "grad_norm": 1.6796875, + "learning_rate": 9.084560474419701e-05, + "loss": 4.7835, + "mean_token_accuracy": 0.25118696242570876, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.696748685836792, + "epoch": 8.217447357112162, + "grad_norm": 1.484375, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8066, + "mean_token_accuracy": 0.2443075641989708, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.665190410614014, + "epoch": 8.221744735711216, + "grad_norm": 1.515625, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.2463520273566246, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.7112932205200195, + "epoch": 8.226042114310271, + "grad_norm": 1.484375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9087, + "mean_token_accuracy": 0.2336752951145172, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.691789293289185, + "epoch": 8.230339492909325, + "grad_norm": 1.484375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24061028361320497, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.657401275634766, + "epoch": 8.23463687150838, + "grad_norm": 1.5078125, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.2478136107325554, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.613147830963134, + "epoch": 8.238934250107434, + "grad_norm": 1.4609375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.7774, + "mean_token_accuracy": 0.2528875932097435, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.673092412948608, + "epoch": 8.24323162870649, + "grad_norm": 1.34375, + "learning_rate": 8.951826639309257e-05, + "loss": 4.8428, + "mean_token_accuracy": 0.2408193603157997, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.613753366470337, + "epoch": 8.247529007305543, + "grad_norm": 1.484375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.24801580756902694, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.626958703994751, + "epoch": 8.251826385904598, + "grad_norm": 1.4765625, + "learning_rate": 8.914266583627684e-05, + "loss": 4.7602, + "mean_token_accuracy": 0.25679432451725004, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.705102348327637, + "epoch": 8.256123764503652, + "grad_norm": 1.5859375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2392795503139496, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.625812101364136, + "epoch": 8.260421143102707, + "grad_norm": 1.4140625, + "learning_rate": 8.876868863110013e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24406588524580003, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.704039239883423, + "epoch": 8.264718521701761, + "grad_norm": 1.359375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.2442236140370369, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.685574102401733, + "epoch": 8.269015900300817, + "grad_norm": 1.3203125, + "learning_rate": 8.839633804402747e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24362473785877228, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.6750462532043455, + "epoch": 8.27331327889987, + "grad_norm": 1.5234375, + "learning_rate": 8.821077374916647e-05, + "loss": 4.7961, + "mean_token_accuracy": 0.25050569921731947, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.600301933288574, + "epoch": 8.277610657498926, + "grad_norm": 1.46875, + "learning_rate": 8.802561732731654e-05, + "loss": 4.7754, + "mean_token_accuracy": 0.2526980236172676, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.719686460494995, + "epoch": 8.281908036097981, + "grad_norm": 1.3125, + "learning_rate": 8.784086918278534e-05, + "loss": 4.8649, + "mean_token_accuracy": 0.2339397519826889, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.607286500930786, + "epoch": 8.286205414697035, + "grad_norm": 1.359375, + "learning_rate": 8.765652971898908e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.25611190050840377, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.677676486968994, + "epoch": 8.29050279329609, + "grad_norm": 1.5390625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.25352744907140734, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.707070398330688, + "epoch": 8.294800171895144, + "grad_norm": 1.328125, + "learning_rate": 8.728907844280254e-05, + "loss": 4.8851, + "mean_token_accuracy": 0.23950794637203215, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.6442076683044435, + "epoch": 8.2990975504942, + "grad_norm": 1.515625, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24814968705177307, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.645054149627685, + "epoch": 8.303394929093253, + "grad_norm": 1.4609375, + "learning_rate": 8.692326670822207e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2519303172826767, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.663473224639892, + "epoch": 8.307692307692308, + "grad_norm": 1.3984375, + "learning_rate": 8.6740976668077e-05, + "loss": 4.7768, + "mean_token_accuracy": 0.25253538936376574, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.601699924468994, + "epoch": 8.311989686291362, + "grad_norm": 1.6015625, + "learning_rate": 8.655909771039239e-05, + "loss": 4.7722, + "mean_token_accuracy": 0.24630842208862305, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.668028783798218, + "epoch": 8.316287064890417, + "grad_norm": 1.6640625, + "learning_rate": 8.637763023231922e-05, + "loss": 4.8186, + "mean_token_accuracy": 0.2444746106863022, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.5484637260437015, + "epoch": 8.320584443489471, + "grad_norm": 1.46875, + "learning_rate": 8.619657463010987e-05, + "loss": 4.6988, + "mean_token_accuracy": 0.260918502509594, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.722867631912232, + "epoch": 8.324881822088527, + "grad_norm": 1.4921875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.8931, + "mean_token_accuracy": 0.241627100110054, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.686518335342408, + "epoch": 8.32917920068758, + "grad_norm": 1.34375, + "learning_rate": 8.583570063379487e-05, + "loss": 4.8181, + "mean_token_accuracy": 0.24606943130493164, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.644981908798218, + "epoch": 8.333476579286636, + "grad_norm": 1.484375, + "learning_rate": 8.565588302769374e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.24853309392929077, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.598904609680176, + "epoch": 8.33777395788569, + "grad_norm": 1.421875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.785, + "mean_token_accuracy": 0.2558070823550224, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.706678056716919, + "epoch": 8.342071336484745, + "grad_norm": 1.390625, + "learning_rate": 8.529748856285228e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.24797595292329788, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.658598756790161, + "epoch": 8.346368715083798, + "grad_norm": 1.4375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.782, + "mean_token_accuracy": 0.2595686510205269, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.688131809234619, + "epoch": 8.350666093682854, + "grad_norm": 1.5625, + "learning_rate": 8.494075103495245e-05, + "loss": 4.8469, + "mean_token_accuracy": 0.24513275921344757, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.676475381851196, + "epoch": 8.354963472281907, + "grad_norm": 1.390625, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8216, + "mean_token_accuracy": 0.24088364839553833, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.665163183212281, + "epoch": 8.359260850880963, + "grad_norm": 1.3515625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.891, + "mean_token_accuracy": 0.23809681534767152, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.628652429580688, + "epoch": 8.363558229480017, + "grad_norm": 1.234375, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8108, + "mean_token_accuracy": 0.243441666662693, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.656926536560059, + "epoch": 8.367855608079072, + "grad_norm": 1.3359375, + "learning_rate": 8.423225923902608e-05, + "loss": 4.7911, + "mean_token_accuracy": 0.25119892954826356, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.626911640167236, + "epoch": 8.372152986678126, + "grad_norm": 1.4765625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.7294, + "mean_token_accuracy": 0.26259505450725557, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.725198030471802, + "epoch": 8.376450365277181, + "grad_norm": 1.3359375, + "learning_rate": 8.388051115924781e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2378841072320938, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.666871118545532, + "epoch": 8.380747743876235, + "grad_norm": 1.4296875, + "learning_rate": 8.370526292042774e-05, + "loss": 4.7505, + "mean_token_accuracy": 0.2538667440414429, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.587338781356811, + "epoch": 8.38504512247529, + "grad_norm": 1.671875, + "learning_rate": 8.353043239285357e-05, + "loss": 4.7737, + "mean_token_accuracy": 0.2544986054301262, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.640384817123413, + "epoch": 8.389342501074344, + "grad_norm": 1.5546875, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8104, + "mean_token_accuracy": 0.242693130671978, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.6606762409210205, + "epoch": 8.3936398796734, + "grad_norm": 1.3828125, + "learning_rate": 8.318202599757008e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.24492816925048827, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.606284189224243, + "epoch": 8.397937258272453, + "grad_norm": 1.5078125, + "learning_rate": 8.30084508906411e-05, + "loss": 4.7323, + "mean_token_accuracy": 0.2531019449234009, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.618020248413086, + "epoch": 8.402234636871508, + "grad_norm": 1.5078125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8268, + "mean_token_accuracy": 0.24008245319128035, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.642845964431762, + "epoch": 8.406532015470564, + "grad_norm": 1.3671875, + "learning_rate": 8.266255875330095e-05, + "loss": 4.7733, + "mean_token_accuracy": 0.25374836176633836, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.627595281600952, + "epoch": 8.410829394069617, + "grad_norm": 1.4921875, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8114, + "mean_token_accuracy": 0.24691130816936493, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.655184364318847, + "epoch": 8.415126772668673, + "grad_norm": 1.2734375, + "learning_rate": 8.231834656742402e-05, + "loss": 4.8303, + "mean_token_accuracy": 0.24660495668649673, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.6911468505859375, + "epoch": 8.419424151267727, + "grad_norm": 1.4921875, + "learning_rate": 8.214687139638494e-05, + "loss": 4.833, + "mean_token_accuracy": 0.25070433020591737, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.6668381690979, + "epoch": 8.423721529866782, + "grad_norm": 1.5625, + "learning_rate": 8.197581733949597e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.2571685716509819, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.67210898399353, + "epoch": 8.428018908465836, + "grad_norm": 1.5703125, + "learning_rate": 8.180518477027083e-05, + "loss": 4.7963, + "mean_token_accuracy": 0.2531482130289078, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.551906299591065, + "epoch": 8.432316287064891, + "grad_norm": 1.3828125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7097, + "mean_token_accuracy": 0.2613152891397476, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.731686592102051, + "epoch": 8.436613665663945, + "grad_norm": 1.3828125, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9128, + "mean_token_accuracy": 0.23491355329751967, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.651397562026977, + "epoch": 8.440911044263, + "grad_norm": 1.484375, + "learning_rate": 8.129581970990507e-05, + "loss": 4.7678, + "mean_token_accuracy": 0.2589532405138016, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.655478382110596, + "epoch": 8.445208422862054, + "grad_norm": 1.546875, + "learning_rate": 8.11268768080528e-05, + "loss": 4.7926, + "mean_token_accuracy": 0.24893169701099396, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.679694795608521, + "epoch": 8.44950580146111, + "grad_norm": 1.5859375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24183138757944106, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.670652627944946, + "epoch": 8.453803180060163, + "grad_norm": 1.5859375, + "learning_rate": 8.079026139655946e-05, + "loss": 4.8412, + "mean_token_accuracy": 0.24176028072834016, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.590162706375122, + "epoch": 8.458100558659218, + "grad_norm": 1.4296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.7299, + "mean_token_accuracy": 0.2560922592878342, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.63255124092102, + "epoch": 8.462397937258272, + "grad_norm": 1.5859375, + "learning_rate": 8.04553422899167e-05, + "loss": 4.826, + "mean_token_accuracy": 0.24348948746919633, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.6421679019927975, + "epoch": 8.466695315857327, + "grad_norm": 1.3515625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.872, + "mean_token_accuracy": 0.24232618063688277, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.640596628189087, + "epoch": 8.470992694456381, + "grad_norm": 1.4140625, + "learning_rate": 8.01221224134408e-05, + "loss": 4.767, + "mean_token_accuracy": 0.2555935025215149, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.6605424880981445, + "epoch": 8.475290073055437, + "grad_norm": 1.4765625, + "learning_rate": 7.995615059661907e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.24309351146221161, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.669471883773804, + "epoch": 8.47958745165449, + "grad_norm": 1.4609375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.824, + "mean_token_accuracy": 0.24673386365175248, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.629602289199829, + "epoch": 8.483884830253546, + "grad_norm": 1.5390625, + "learning_rate": 7.962548501788811e-05, + "loss": 4.7397, + "mean_token_accuracy": 0.2527197152376175, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.647467613220215, + "epoch": 8.4881822088526, + "grad_norm": 1.484375, + "learning_rate": 7.946079197802028e-05, + "loss": 4.827, + "mean_token_accuracy": 0.23749534040689468, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.648807525634766, + "epoch": 8.492479587451655, + "grad_norm": 1.609375, + "learning_rate": 7.929652591762636e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24475187957286834, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.630274534225464, + "epoch": 8.496776966050708, + "grad_norm": 1.5703125, + "learning_rate": 7.913268719539785e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24791176468133927, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.617410373687744, + "epoch": 8.501074344649764, + "grad_norm": 1.40625, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7157, + "mean_token_accuracy": 0.2596577987074852, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.6985677719116214, + "epoch": 8.505371723248818, + "grad_norm": 1.3359375, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.2542118713259697, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.660664224624634, + "epoch": 8.509669101847873, + "grad_norm": 1.3984375, + "learning_rate": 7.864373863061717e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2512780398130417, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.619579887390136, + "epoch": 8.513966480446927, + "grad_norm": 1.5546875, + "learning_rate": 7.848161282929006e-05, + "loss": 4.7944, + "mean_token_accuracy": 0.24880642294883729, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.679474544525147, + "epoch": 8.518263859045982, + "grad_norm": 1.5, + "learning_rate": 7.831991614557274e-05, + "loss": 4.8348, + "mean_token_accuracy": 0.23917439728975295, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.6579587936401365, + "epoch": 8.522561237645036, + "grad_norm": 1.515625, + "learning_rate": 7.815864893254619e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2455276608467102, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.663690233230591, + "epoch": 8.526858616244091, + "grad_norm": 1.4140625, + "learning_rate": 7.799781154235361e-05, + "loss": 4.8306, + "mean_token_accuracy": 0.24498046338558196, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.722172498703003, + "epoch": 8.531155994843147, + "grad_norm": 1.6015625, + "learning_rate": 7.783740432619954e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.2334560737013817, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.644006681442261, + "epoch": 8.5354533734422, + "grad_norm": 1.4921875, + "learning_rate": 7.767742763434922e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2409740775823593, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.589591312408447, + "epoch": 8.539750752041256, + "grad_norm": 1.4140625, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7222, + "mean_token_accuracy": 0.25535061210393906, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.667737579345703, + "epoch": 8.54404813064031, + "grad_norm": 1.5, + "learning_rate": 7.735876721991945e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24178892970085145, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.685311031341553, + "epoch": 8.548345509239365, + "grad_norm": 1.3203125, + "learning_rate": 7.720008419316708e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24099551886320114, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.613406562805176, + "epoch": 8.552642887838418, + "grad_norm": 1.375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.7478, + "mean_token_accuracy": 0.256206014752388, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.592525625228882, + "epoch": 8.556940266437474, + "grad_norm": 1.3515625, + "learning_rate": 7.688401423308799e-05, + "loss": 4.758, + "mean_token_accuracy": 0.25166425555944444, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.575402688980103, + "epoch": 8.561237645036528, + "grad_norm": 1.5703125, + "learning_rate": 7.672662798993174e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.25995253920555117, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.668489742279053, + "epoch": 8.565535023635583, + "grad_norm": 1.4296875, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8124, + "mean_token_accuracy": 0.24452023208141327, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.618843078613281, + "epoch": 8.569832402234637, + "grad_norm": 1.4140625, + "learning_rate": 7.641315469572841e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.2510646566748619, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.674667453765869, + "epoch": 8.574129780833692, + "grad_norm": 1.3125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8343, + "mean_token_accuracy": 0.24694945514202118, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.677858638763428, + "epoch": 8.578427159432746, + "grad_norm": 1.4375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.9126, + "mean_token_accuracy": 0.23654921650886535, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.656866931915284, + "epoch": 8.582724538031801, + "grad_norm": 1.4609375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.8304, + "mean_token_accuracy": 0.23874644041061402, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.644109725952148, + "epoch": 8.587021916630855, + "grad_norm": 1.515625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.2478152796626091, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.652941131591797, + "epoch": 8.59131929522991, + "grad_norm": 1.578125, + "learning_rate": 7.563706600833737e-05, + "loss": 4.8194, + "mean_token_accuracy": 0.24661646783351898, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.45993368367891, + "eval_loss": 5.879827976226807, + "eval_mean_token_accuracy": 0.1841710262034122, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0477, + "eval_samples_per_second": 1733.145, + "eval_steps_per_second": 216.826, + "step": 10000 + }, + { + "entropy": 5.582108640670777, + "epoch": 8.595616673828964, + "grad_norm": 1.6484375, + "learning_rate": 7.548315290675886e-05, + "loss": 4.7544, + "mean_token_accuracy": 0.2536217987537384, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.594784164428711, + "epoch": 8.59991405242802, + "grad_norm": 1.375, + "learning_rate": 7.532967547022825e-05, + "loss": 4.7644, + "mean_token_accuracy": 0.25198703110218046, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.632088756561279, + "epoch": 8.604211431027073, + "grad_norm": 1.515625, + "learning_rate": 7.517663403387874e-05, + "loss": 4.8489, + "mean_token_accuracy": 0.24825350791215897, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.578985023498535, + "epoch": 8.608508809626128, + "grad_norm": 1.4765625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.7289, + "mean_token_accuracy": 0.25674757063388826, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.71737813949585, + "epoch": 8.612806188225182, + "grad_norm": 1.328125, + "learning_rate": 7.487186049749618e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.2366224303841591, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.631614637374878, + "epoch": 8.617103566824238, + "grad_norm": 1.40625, + "learning_rate": 7.472012906296658e-05, + "loss": 4.7979, + "mean_token_accuracy": 0.24905427694320678, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.615096664428711, + "epoch": 8.621400945423291, + "grad_norm": 1.2265625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.7738, + "mean_token_accuracy": 0.2522251158952713, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.646911573410034, + "epoch": 8.625698324022347, + "grad_norm": 1.4609375, + "learning_rate": 7.441797851783402e-05, + "loss": 4.8238, + "mean_token_accuracy": 0.2428828716278076, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.627325582504272, + "epoch": 8.6299957026214, + "grad_norm": 1.515625, + "learning_rate": 7.426756006700716e-05, + "loss": 4.7666, + "mean_token_accuracy": 0.25277192890644073, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.686093473434449, + "epoch": 8.634293081220456, + "grad_norm": 1.5703125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.889, + "mean_token_accuracy": 0.24558345079421998, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.702205467224121, + "epoch": 8.63859045981951, + "grad_norm": 1.4765625, + "learning_rate": 7.396803845110032e-05, + "loss": 4.8488, + "mean_token_accuracy": 0.25144137591123583, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.66311354637146, + "epoch": 8.642887838418565, + "grad_norm": 1.4453125, + "learning_rate": 7.381893594005585e-05, + "loss": 4.8137, + "mean_token_accuracy": 0.24637157917022706, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.6392535209655765, + "epoch": 8.647185217017618, + "grad_norm": 1.453125, + "learning_rate": 7.367027272804387e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24758926182985305, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.656706380844116, + "epoch": 8.651482595616674, + "grad_norm": 1.3984375, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.24841432571411132, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.6700053215026855, + "epoch": 8.65577997421573, + "grad_norm": 1.2265625, + "learning_rate": 7.337426549864175e-05, + "loss": 4.8512, + "mean_token_accuracy": 0.24023033082485198, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.655622768402099, + "epoch": 8.660077352814783, + "grad_norm": 1.2890625, + "learning_rate": 7.322692212761306e-05, + "loss": 4.8588, + "mean_token_accuracy": 0.24819429963827133, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.672299194335937, + "epoch": 8.664374731413837, + "grad_norm": 1.5234375, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8068, + "mean_token_accuracy": 0.24570150524377823, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.6919238567352295, + "epoch": 8.668672110012892, + "grad_norm": 1.46875, + "learning_rate": 7.29335574815948e-05, + "loss": 4.7831, + "mean_token_accuracy": 0.24971666783094407, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.647150468826294, + "epoch": 8.672969488611947, + "grad_norm": 1.3046875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8084, + "mean_token_accuracy": 0.2445070579648018, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.6693848133087155, + "epoch": 8.677266867211001, + "grad_norm": 1.4765625, + "learning_rate": 7.264195776399386e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2455286830663681, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.631603240966797, + "epoch": 8.681564245810057, + "grad_norm": 1.390625, + "learning_rate": 7.249682054987381e-05, + "loss": 4.7488, + "mean_token_accuracy": 0.25079986453056335, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.709641027450561, + "epoch": 8.68586162440911, + "grad_norm": 1.34375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.23537713289260864, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.6438311576843265, + "epoch": 8.690159003008166, + "grad_norm": 1.3984375, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8076, + "mean_token_accuracy": 0.2504834607243538, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.618740224838257, + "epoch": 8.69445638160722, + "grad_norm": 1.5234375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7024, + "mean_token_accuracy": 0.25854243636131286, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.633188009262085, + "epoch": 8.698753760206275, + "grad_norm": 1.4296875, + "learning_rate": 7.192069670816359e-05, + "loss": 4.8576, + "mean_token_accuracy": 0.241273033618927, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.624459218978882, + "epoch": 8.703051138805328, + "grad_norm": 1.59375, + "learning_rate": 7.177777357395912e-05, + "loss": 4.7869, + "mean_token_accuracy": 0.2525374382734299, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.629094934463501, + "epoch": 8.707348517404384, + "grad_norm": 1.4765625, + "learning_rate": 7.163529419587002e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.24723465293645858, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.711287641525269, + "epoch": 8.711645896003438, + "grad_norm": 1.421875, + "learning_rate": 7.149325888501418e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24357055127620697, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.641200685501099, + "epoch": 8.715943274602493, + "grad_norm": 1.3515625, + "learning_rate": 7.135166795153992e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2550801619887352, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.671554136276245, + "epoch": 8.720240653201547, + "grad_norm": 1.453125, + "learning_rate": 7.121052170462541e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24792980551719665, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.579294300079345, + "epoch": 8.724538031800602, + "grad_norm": 1.5390625, + "learning_rate": 7.106982045247754e-05, + "loss": 4.6967, + "mean_token_accuracy": 0.26570699363946915, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.6380534172058105, + "epoch": 8.728835410399656, + "grad_norm": 1.3984375, + "learning_rate": 7.092956450233162e-05, + "loss": 4.8613, + "mean_token_accuracy": 0.2413666471838951, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.6795158863067625, + "epoch": 8.733132788998711, + "grad_norm": 1.3203125, + "learning_rate": 7.078975416045055e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.2507988974452019, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.592861557006836, + "epoch": 8.737430167597765, + "grad_norm": 1.6484375, + "learning_rate": 7.065038973212424e-05, + "loss": 4.6759, + "mean_token_accuracy": 0.260982346534729, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.639511489868164, + "epoch": 8.74172754619682, + "grad_norm": 1.5703125, + "learning_rate": 7.051147152166896e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.252939784526825, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.585833978652954, + "epoch": 8.746024924795874, + "grad_norm": 1.2265625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.7762, + "mean_token_accuracy": 0.25288844257593157, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.6570563316345215, + "epoch": 8.75032230339493, + "grad_norm": 1.4140625, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8169, + "mean_token_accuracy": 0.24400742948055268, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.645201253890991, + "epoch": 8.754619681993983, + "grad_norm": 1.296875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.7747, + "mean_token_accuracy": 0.25545826405286787, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.678719329833984, + "epoch": 8.758917060593038, + "grad_norm": 1.40625, + "learning_rate": 6.996026691076531e-05, + "loss": 4.9283, + "mean_token_accuracy": 0.2372728779911995, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.646335554122925, + "epoch": 8.763214439192092, + "grad_norm": 1.390625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.7396, + "mean_token_accuracy": 0.2493108794093132, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.754535675048828, + "epoch": 8.767511817791148, + "grad_norm": 1.453125, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23316902965307235, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.613467741012573, + "epoch": 8.771809196390201, + "grad_norm": 1.4375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2547129586338997, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.715860271453858, + "epoch": 8.776106574989257, + "grad_norm": 1.4609375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.8939, + "mean_token_accuracy": 0.2358478605747223, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.6053954601287845, + "epoch": 8.780403953588312, + "grad_norm": 1.484375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.7973, + "mean_token_accuracy": 0.24966762959957123, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.650966930389404, + "epoch": 8.784701332187366, + "grad_norm": 1.4921875, + "learning_rate": 6.914689765206899e-05, + "loss": 4.722, + "mean_token_accuracy": 0.2569688901305199, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.668413829803467, + "epoch": 8.78899871078642, + "grad_norm": 1.5546875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25286874175071716, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.673072862625122, + "epoch": 8.793296089385475, + "grad_norm": 1.2265625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.8267, + "mean_token_accuracy": 0.24095726311206817, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.602101993560791, + "epoch": 8.79759346798453, + "grad_norm": 1.3984375, + "learning_rate": 6.874627729967086e-05, + "loss": 4.7614, + "mean_token_accuracy": 0.25367412269115447, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.634996032714843, + "epoch": 8.801890846583584, + "grad_norm": 1.3125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.25228522568941114, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.583075428009034, + "epoch": 8.80618822518264, + "grad_norm": 1.53125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.762, + "mean_token_accuracy": 0.25409252345561983, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.593589639663696, + "epoch": 8.810485603781693, + "grad_norm": 1.4765625, + "learning_rate": 6.834971032259537e-05, + "loss": 4.7551, + "mean_token_accuracy": 0.24724589586257933, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.59733476638794, + "epoch": 8.814782982380748, + "grad_norm": 1.5234375, + "learning_rate": 6.821842342962786e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.2560932472348213, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.605298137664795, + "epoch": 8.819080360979802, + "grad_norm": 1.453125, + "learning_rate": 6.808758806497375e-05, + "loss": 4.7547, + "mean_token_accuracy": 0.25770940631628036, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.668881273269653, + "epoch": 8.823377739578858, + "grad_norm": 1.4921875, + "learning_rate": 6.795720451432509e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2539924278855324, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.653170919418335, + "epoch": 8.827675118177911, + "grad_norm": 1.3359375, + "learning_rate": 6.782727306238749e-05, + "loss": 4.8899, + "mean_token_accuracy": 0.23995666801929474, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.571465110778808, + "epoch": 8.831972496776967, + "grad_norm": 1.578125, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.2465637966990471, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.609991598129272, + "epoch": 8.83626987537602, + "grad_norm": 1.40625, + "learning_rate": 6.756876758853104e-05, + "loss": 4.7832, + "mean_token_accuracy": 0.24858400970697403, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.614251518249512, + "epoch": 8.840567253975076, + "grad_norm": 1.671875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25418430119752883, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.661041927337647, + "epoch": 8.84486463257413, + "grad_norm": 1.453125, + "learning_rate": 6.731207390129366e-05, + "loss": 4.8443, + "mean_token_accuracy": 0.23748955130577087, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.648515462875366, + "epoch": 8.849162011173185, + "grad_norm": 1.265625, + "learning_rate": 6.7184407178921e-05, + "loss": 4.8226, + "mean_token_accuracy": 0.25025610327720643, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.668762063980102, + "epoch": 8.853459389772238, + "grad_norm": 1.5390625, + "learning_rate": 6.70571942427399e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24509814977645875, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.696825885772705, + "epoch": 8.857756768371294, + "grad_norm": 1.484375, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9, + "mean_token_accuracy": 0.23831938505172728, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.636625862121582, + "epoch": 8.862054146970348, + "grad_norm": 1.4453125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2473379299044609, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.678902578353882, + "epoch": 8.866351525569403, + "grad_norm": 1.34375, + "learning_rate": 6.667828092420977e-05, + "loss": 4.8471, + "mean_token_accuracy": 0.24866860657930373, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.607882404327393, + "epoch": 8.870648904168457, + "grad_norm": 1.375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.7921, + "mean_token_accuracy": 0.254789824783802, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.594926452636718, + "epoch": 8.874946282767512, + "grad_norm": 1.375, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.24797703474760055, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.618593168258667, + "epoch": 8.879243661366566, + "grad_norm": 1.3984375, + "learning_rate": 6.630346162204069e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.2526925429701805, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.6028295993804935, + "epoch": 8.883541039965621, + "grad_norm": 1.6484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.6939, + "mean_token_accuracy": 0.25986738353967664, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.710940647125244, + "epoch": 8.887838418564675, + "grad_norm": 1.6171875, + "learning_rate": 6.605586018168558e-05, + "loss": 4.81, + "mean_token_accuracy": 0.24979257434606553, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.683839225769043, + "epoch": 8.89213579716373, + "grad_norm": 1.34375, + "learning_rate": 6.593274370232191e-05, + "loss": 4.8327, + "mean_token_accuracy": 0.2464034602046013, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.628410482406617, + "epoch": 8.896433175762784, + "grad_norm": 1.3359375, + "learning_rate": 6.581008374228255e-05, + "loss": 4.7908, + "mean_token_accuracy": 0.2461797282099724, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.622152996063233, + "epoch": 8.90073055436184, + "grad_norm": 1.4296875, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8165, + "mean_token_accuracy": 0.2465150237083435, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6243490219116214, + "epoch": 8.905027932960895, + "grad_norm": 1.359375, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7228, + "mean_token_accuracy": 0.25819993317127227, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.675375461578369, + "epoch": 8.909325311559948, + "grad_norm": 1.3515625, + "learning_rate": 6.544484565152577e-05, + "loss": 4.7937, + "mean_token_accuracy": 0.2524940297007561, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.635634279251098, + "epoch": 8.913622690159002, + "grad_norm": 1.65625, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8251, + "mean_token_accuracy": 0.24945158213377, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.646540689468384, + "epoch": 8.917920068758058, + "grad_norm": 1.265625, + "learning_rate": 6.520364107143898e-05, + "loss": 4.8436, + "mean_token_accuracy": 0.24798599183559417, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.6593023300170895, + "epoch": 8.922217447357113, + "grad_norm": 1.375, + "learning_rate": 6.50837258170615e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24874897450208663, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.668875980377197, + "epoch": 8.926514825956167, + "grad_norm": 1.3984375, + "learning_rate": 6.496426893592397e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.2391132190823555, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.667122745513916, + "epoch": 8.930812204555222, + "grad_norm": 1.5234375, + "learning_rate": 6.484527068887258e-05, + "loss": 4.8371, + "mean_token_accuracy": 0.24273379147052765, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.638441038131714, + "epoch": 8.935109583154276, + "grad_norm": 1.546875, + "learning_rate": 6.472673133575181e-05, + "loss": 4.7597, + "mean_token_accuracy": 0.24820929765701294, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.664800548553467, + "epoch": 8.939406961753331, + "grad_norm": 1.5, + "learning_rate": 6.460865113540437e-05, + "loss": 4.7591, + "mean_token_accuracy": 0.25227137207984923, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.680027961730957, + "epoch": 8.943704340352385, + "grad_norm": 1.40625, + "learning_rate": 6.449103034567011e-05, + "loss": 4.7592, + "mean_token_accuracy": 0.2561339348554611, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.664671468734741, + "epoch": 8.94800171895144, + "grad_norm": 1.484375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.861, + "mean_token_accuracy": 0.240652696788311, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.666413927078247, + "epoch": 8.952299097550494, + "grad_norm": 1.5078125, + "learning_rate": 6.425716802438479e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.24916145354509353, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.626944637298584, + "epoch": 8.95659647614955, + "grad_norm": 1.53125, + "learning_rate": 6.414092700349548e-05, + "loss": 4.804, + "mean_token_accuracy": 0.25158223062753676, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.677120351791382, + "epoch": 8.960893854748603, + "grad_norm": 1.453125, + "learning_rate": 6.402514641454192e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23440527617931367, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.629398536682129, + "epoch": 8.965191233347658, + "grad_norm": 1.3515625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24613251239061357, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.608459091186523, + "epoch": 8.969488611946712, + "grad_norm": 1.59375, + "learning_rate": 6.379496754271044e-05, + "loss": 4.6478, + "mean_token_accuracy": 0.2624844193458557, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.566482067108154, + "epoch": 8.973785990545768, + "grad_norm": 1.5703125, + "learning_rate": 6.368056976245107e-05, + "loss": 4.6832, + "mean_token_accuracy": 0.27008168697357177, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.61891360282898, + "epoch": 8.978083369144821, + "grad_norm": 1.546875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.7809, + "mean_token_accuracy": 0.24728458374738693, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.63971700668335, + "epoch": 8.982380747743877, + "grad_norm": 1.515625, + "learning_rate": 6.345315876223977e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.25158697068691255, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.617656993865967, + "epoch": 8.98667812634293, + "grad_norm": 1.4765625, + "learning_rate": 6.334014603886256e-05, + "loss": 4.8081, + "mean_token_accuracy": 0.25301000475883484, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.6047585010528564, + "epoch": 8.990975504941986, + "grad_norm": 1.5546875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.7627, + "mean_token_accuracy": 0.24849656075239182, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.575642251968384, + "epoch": 8.99527288354104, + "grad_norm": 1.4375, + "learning_rate": 6.311550737943753e-05, + "loss": 4.7483, + "mean_token_accuracy": 0.257401143014431, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.665790462493897, + "epoch": 8.999570262140095, + "grad_norm": 1.4296875, + "learning_rate": 6.300388193391075e-05, + "loss": 4.8158, + "mean_token_accuracy": 0.24791148900985718, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.64085324605306, + "epoch": 9.003437902879243, + "grad_norm": 1.390625, + "learning_rate": 6.289271940317174e-05, + "loss": 4.8769, + "mean_token_accuracy": 0.2419930464691586, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.6130658149719235, + "epoch": 9.007735281478299, + "grad_norm": 1.4375, + "learning_rate": 6.278202002995497e-05, + "loss": 4.7878, + "mean_token_accuracy": 0.25171366333961487, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.610973453521728, + "epoch": 9.012032660077352, + "grad_norm": 1.5078125, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7215, + "mean_token_accuracy": 0.2603663995862007, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.675764322280884, + "epoch": 9.016330038676408, + "grad_norm": 1.453125, + "learning_rate": 6.256201172196921e-05, + "loss": 4.7783, + "mean_token_accuracy": 0.25133358389139177, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.640312767028808, + "epoch": 9.020627417275461, + "grad_norm": 1.390625, + "learning_rate": 6.245270326761034e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.2465323805809021, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.4709870262188955, + "eval_loss": 5.88071870803833, + "eval_mean_token_accuracy": 0.18410248618136654, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0494, + "eval_samples_per_second": 1731.732, + "eval_steps_per_second": 216.649, + "step": 10500 + }, + { + "entropy": 5.669859838485718, + "epoch": 9.024924795874517, + "grad_norm": 1.53125, + "learning_rate": 6.234385893159311e-05, + "loss": 4.7838, + "mean_token_accuracy": 0.2515318378806114, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.657605171203613, + "epoch": 9.02922217447357, + "grad_norm": 1.5234375, + "learning_rate": 6.223547895159009e-05, + "loss": 4.7404, + "mean_token_accuracy": 0.25628202855587007, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.5712086200714115, + "epoch": 9.033519553072626, + "grad_norm": 1.4375, + "learning_rate": 6.212756356425978e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.25828822106122973, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.645226001739502, + "epoch": 9.03781693167168, + "grad_norm": 1.4140625, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8116, + "mean_token_accuracy": 0.24831810742616653, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.679613542556763, + "epoch": 9.042114310270735, + "grad_norm": 1.3671875, + "learning_rate": 6.191312750917855e-05, + "loss": 4.8263, + "mean_token_accuracy": 0.2535302057862282, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.622981262207031, + "epoch": 9.046411688869789, + "grad_norm": 1.4765625, + "learning_rate": 6.180660730967036e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2522904068231583, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.683325624465942, + "epoch": 9.050709067468844, + "grad_norm": 1.4609375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.24987991899251938, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.64924807548523, + "epoch": 9.055006446067898, + "grad_norm": 1.515625, + "learning_rate": 6.159496372970584e-05, + "loss": 4.7187, + "mean_token_accuracy": 0.24842094928026198, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.594881010055542, + "epoch": 9.059303824666953, + "grad_norm": 1.3125, + "learning_rate": 6.148984081139454e-05, + "loss": 4.7702, + "mean_token_accuracy": 0.250566403567791, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.676750993728637, + "epoch": 9.063601203266007, + "grad_norm": 1.2109375, + "learning_rate": 6.138518411393163e-05, + "loss": 4.8824, + "mean_token_accuracy": 0.23818726986646652, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.6487244129180905, + "epoch": 9.067898581865062, + "grad_norm": 1.46875, + "learning_rate": 6.128099386584548e-05, + "loss": 4.7894, + "mean_token_accuracy": 0.25352845937013624, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.652242422103882, + "epoch": 9.072195960464116, + "grad_norm": 1.46875, + "learning_rate": 6.1177270294646e-05, + "loss": 4.8136, + "mean_token_accuracy": 0.24836055785417557, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.592644214630127, + "epoch": 9.076493339063171, + "grad_norm": 1.46875, + "learning_rate": 6.107401362682401e-05, + "loss": 4.8297, + "mean_token_accuracy": 0.24406633228063584, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.617107391357422, + "epoch": 9.080790717662227, + "grad_norm": 1.328125, + "learning_rate": 6.097122408785076e-05, + "loss": 4.7995, + "mean_token_accuracy": 0.24826500862836837, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.664296865463257, + "epoch": 9.08508809626128, + "grad_norm": 1.421875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.775, + "mean_token_accuracy": 0.25444269776344297, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.598661231994629, + "epoch": 9.089385474860336, + "grad_norm": 1.546875, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7082, + "mean_token_accuracy": 0.2616791486740112, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.6352826118469235, + "epoch": 9.09368285345939, + "grad_norm": 1.4140625, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.24676432013511657, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.6875403881072994, + "epoch": 9.097980232058445, + "grad_norm": 1.4921875, + "learning_rate": 6.05647416941601e-05, + "loss": 4.8437, + "mean_token_accuracy": 0.2471165433526039, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.616286373138427, + "epoch": 9.102277610657499, + "grad_norm": 1.4375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.6969, + "mean_token_accuracy": 0.25456131249666214, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.664317655563354, + "epoch": 9.106574989256554, + "grad_norm": 1.4609375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8135, + "mean_token_accuracy": 0.24456136524677277, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.697394466400146, + "epoch": 9.110872367855608, + "grad_norm": 1.484375, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24979521930217743, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.682855892181396, + "epoch": 9.115169746454663, + "grad_norm": 1.296875, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.7746, + "mean_token_accuracy": 0.242179574072361, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.6265136241912845, + "epoch": 9.119467125053717, + "grad_norm": 1.3046875, + "learning_rate": 6.006717573275138e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.2574576482176781, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.661381340026855, + "epoch": 9.123764503652772, + "grad_norm": 1.1953125, + "learning_rate": 5.996906965854093e-05, + "loss": 4.8359, + "mean_token_accuracy": 0.2464934766292572, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.669901990890503, + "epoch": 9.128061882251826, + "grad_norm": 1.5546875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.24552787095308304, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.583899021148682, + "epoch": 9.132359260850881, + "grad_norm": 1.484375, + "learning_rate": 5.977426634813338e-05, + "loss": 4.7378, + "mean_token_accuracy": 0.2557566374540329, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.6959641456604, + "epoch": 9.136656639449935, + "grad_norm": 1.5, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9001, + "mean_token_accuracy": 0.23603728413581848, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.678333759307861, + "epoch": 9.14095401804899, + "grad_norm": 1.4296875, + "learning_rate": 5.958134290460888e-05, + "loss": 4.8093, + "mean_token_accuracy": 0.24847684800624847, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.594663047790528, + "epoch": 9.145251396648044, + "grad_norm": 1.21875, + "learning_rate": 5.94855866601539e-05, + "loss": 4.7344, + "mean_token_accuracy": 0.25321966260671613, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.658229923248291, + "epoch": 9.1495487752471, + "grad_norm": 1.4609375, + "learning_rate": 5.939030101303724e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.24839598089456558, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.663689517974854, + "epoch": 9.153846153846153, + "grad_norm": 1.515625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.7355, + "mean_token_accuracy": 0.25522763580083846, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.598207283020019, + "epoch": 9.158143532445209, + "grad_norm": 1.5703125, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.25508318692445753, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.693424034118652, + "epoch": 9.162440911044262, + "grad_norm": 1.4296875, + "learning_rate": 5.910726973123451e-05, + "loss": 4.8644, + "mean_token_accuracy": 0.23823002427816392, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.642845821380615, + "epoch": 9.166738289643318, + "grad_norm": 1.453125, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8062, + "mean_token_accuracy": 0.25551503002643583, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.684504127502441, + "epoch": 9.171035668242371, + "grad_norm": 1.515625, + "learning_rate": 5.892093898384017e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.25086683183908465, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.649334859848023, + "epoch": 9.175333046841427, + "grad_norm": 1.484375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8012, + "mean_token_accuracy": 0.2486447736620903, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.533756256103516, + "epoch": 9.17963042544048, + "grad_norm": 1.6015625, + "learning_rate": 5.873649555662836e-05, + "loss": 4.6407, + "mean_token_accuracy": 0.2578012332320213, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.624078559875488, + "epoch": 9.183927804039536, + "grad_norm": 1.4765625, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.7787, + "mean_token_accuracy": 0.2532876804471016, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.625823307037353, + "epoch": 9.18822518263859, + "grad_norm": 1.4296875, + "learning_rate": 5.85539410606011e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.2507260128855705, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.620725297927857, + "epoch": 9.192522561237645, + "grad_norm": 1.46875, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.7071, + "mean_token_accuracy": 0.25606116056442263, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.626107978820801, + "epoch": 9.196819939836699, + "grad_norm": 1.4375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.8369, + "mean_token_accuracy": 0.24323922097682954, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.652804756164551, + "epoch": 9.201117318435754, + "grad_norm": 1.3828125, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.8259, + "mean_token_accuracy": 0.25096631944179537, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.642743730545044, + "epoch": 9.20541469703481, + "grad_norm": 1.5, + "learning_rate": 5.819450522360096e-05, + "loss": 4.7641, + "mean_token_accuracy": 0.2504918292164803, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.663795518875122, + "epoch": 9.209712075633863, + "grad_norm": 1.5546875, + "learning_rate": 5.810582931775362e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2489721119403839, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.652674436569214, + "epoch": 9.214009454232919, + "grad_norm": 1.453125, + "learning_rate": 5.801762702208317e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.24531738311052323, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.5886533737182615, + "epoch": 9.218306832831972, + "grad_norm": 1.4765625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.7238, + "mean_token_accuracy": 0.25462878197431565, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.619577884674072, + "epoch": 9.222604211431028, + "grad_norm": 1.265625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7174, + "mean_token_accuracy": 0.25512780994176865, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.601106023788452, + "epoch": 9.226901590030081, + "grad_norm": 1.5625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.7573, + "mean_token_accuracy": 0.2493024155497551, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.605829763412475, + "epoch": 9.231198968629137, + "grad_norm": 1.3046875, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.7487, + "mean_token_accuracy": 0.25207943469285965, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.604989385604858, + "epoch": 9.23549634722819, + "grad_norm": 1.46875, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.713, + "mean_token_accuracy": 0.25506144762039185, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.64974570274353, + "epoch": 9.239793725827246, + "grad_norm": 1.453125, + "learning_rate": 5.749836977485013e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.24881967455148696, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.593701410293579, + "epoch": 9.2440911044263, + "grad_norm": 1.3515625, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7131, + "mean_token_accuracy": 0.2589977756142616, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.649643993377685, + "epoch": 9.248388483025355, + "grad_norm": 1.4140625, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.25246872156858446, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.668751621246338, + "epoch": 9.252685861624409, + "grad_norm": 1.71875, + "learning_rate": 5.724515025616409e-05, + "loss": 4.7713, + "mean_token_accuracy": 0.2551438122987747, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.6279136657714846, + "epoch": 9.256983240223464, + "grad_norm": 1.3828125, + "learning_rate": 5.716169448433832e-05, + "loss": 4.7687, + "mean_token_accuracy": 0.24954331517219544, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.627971220016479, + "epoch": 9.261280618822518, + "grad_norm": 1.484375, + "learning_rate": 5.707871438430255e-05, + "loss": 4.7989, + "mean_token_accuracy": 0.2460992693901062, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.626669549942017, + "epoch": 9.265577997421573, + "grad_norm": 1.5859375, + "learning_rate": 5.699621013725218e-05, + "loss": 4.8064, + "mean_token_accuracy": 0.25317208766937255, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.5840527534484865, + "epoch": 9.269875376020627, + "grad_norm": 1.4296875, + "learning_rate": 5.691418192334352e-05, + "loss": 4.7339, + "mean_token_accuracy": 0.25829588919878005, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.624117422103882, + "epoch": 9.274172754619682, + "grad_norm": 1.421875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.8399, + "mean_token_accuracy": 0.24457038044929505, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.592050504684448, + "epoch": 9.278470133218736, + "grad_norm": 1.390625, + "learning_rate": 5.675155431037876e-05, + "loss": 4.7706, + "mean_token_accuracy": 0.24704843759536743, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.602861404418945, + "epoch": 9.282767511817791, + "grad_norm": 1.4609375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.7443, + "mean_token_accuracy": 0.2627954468131065, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.675701236724853, + "epoch": 9.287064890416845, + "grad_norm": 1.4453125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7119, + "mean_token_accuracy": 0.254921193420887, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.656910228729248, + "epoch": 9.2913622690159, + "grad_norm": 1.3125, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.831, + "mean_token_accuracy": 0.25122607201337815, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.676870679855346, + "epoch": 9.295659647614954, + "grad_norm": 1.5546875, + "learning_rate": 5.643201929359809e-05, + "loss": 4.7776, + "mean_token_accuracy": 0.25071688145399096, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.65682954788208, + "epoch": 9.29995702621401, + "grad_norm": 1.625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2555884286761284, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.601188468933105, + "epoch": 9.304254404813063, + "grad_norm": 1.375, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.7557, + "mean_token_accuracy": 0.2584034129977226, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.618824768066406, + "epoch": 9.308551783412119, + "grad_norm": 1.578125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.2524507701396942, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.558388423919678, + "epoch": 9.312849162011172, + "grad_norm": 1.46875, + "learning_rate": 5.612012049771823e-05, + "loss": 4.6273, + "mean_token_accuracy": 0.27150997519493103, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.683209705352783, + "epoch": 9.317146540610228, + "grad_norm": 1.296875, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.8429, + "mean_token_accuracy": 0.24387009292840958, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.645463323593139, + "epoch": 9.321443919209282, + "grad_norm": 1.3671875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2493225336074829, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.633423852920532, + "epoch": 9.325741297808337, + "grad_norm": 1.6953125, + "learning_rate": 5.589121423602277e-05, + "loss": 4.6914, + "mean_token_accuracy": 0.2628333792090416, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.702880573272705, + "epoch": 9.33003867640739, + "grad_norm": 1.46875, + "learning_rate": 5.581586881970631e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24085617810487747, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.560692501068115, + "epoch": 9.334336055006446, + "grad_norm": 1.390625, + "learning_rate": 5.574100201392522e-05, + "loss": 4.6758, + "mean_token_accuracy": 0.26179105788469315, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.623036813735962, + "epoch": 9.338633433605501, + "grad_norm": 1.40625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.7412, + "mean_token_accuracy": 0.2588634729385376, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.657954597473145, + "epoch": 9.342930812204555, + "grad_norm": 1.4375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.8895, + "mean_token_accuracy": 0.23635072410106658, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.691379356384277, + "epoch": 9.34722819080361, + "grad_norm": 1.3203125, + "learning_rate": 5.551927488935826e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.2456997498869896, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.656087350845337, + "epoch": 9.351525569402664, + "grad_norm": 1.484375, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8121, + "mean_token_accuracy": 0.25415152609348296, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.654774618148804, + "epoch": 9.35582294800172, + "grad_norm": 1.2265625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.25373937338590624, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.641226482391358, + "epoch": 9.360120326600773, + "grad_norm": 1.671875, + "learning_rate": 5.53018610821138e-05, + "loss": 4.7928, + "mean_token_accuracy": 0.25097259134054184, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.687262010574341, + "epoch": 9.364417705199829, + "grad_norm": 1.4765625, + "learning_rate": 5.523034906892728e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.2439215749502182, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.699068069458008, + "epoch": 9.368715083798882, + "grad_norm": 1.4140625, + "learning_rate": 5.515931694481722e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.2473944455385208, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.716992425918579, + "epoch": 9.373012462397938, + "grad_norm": 1.421875, + "learning_rate": 5.508876486488936e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.24376602172851564, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.643907117843628, + "epoch": 9.377309840996991, + "grad_norm": 1.515625, + "learning_rate": 5.501869298320128e-05, + "loss": 4.7983, + "mean_token_accuracy": 0.24763839840888976, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.6545130729675295, + "epoch": 9.381607219596047, + "grad_norm": 1.546875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.7958, + "mean_token_accuracy": 0.2506653919816017, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.657913112640381, + "epoch": 9.3859045981951, + "grad_norm": 1.3203125, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.7589, + "mean_token_accuracy": 0.2580998450517654, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.674734878540039, + "epoch": 9.390201976794156, + "grad_norm": 1.3125, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.8262, + "mean_token_accuracy": 0.24551165699958802, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.629330062866211, + "epoch": 9.39449935539321, + "grad_norm": 1.234375, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.25246907472610475, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.713487863540649, + "epoch": 9.398796733992265, + "grad_norm": 1.3671875, + "learning_rate": 5.467554186695364e-05, + "loss": 4.8508, + "mean_token_accuracy": 0.2398130863904953, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.65391993522644, + "epoch": 9.403094112591319, + "grad_norm": 1.375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24949571192264558, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.5948474407196045, + "epoch": 9.407391491190374, + "grad_norm": 1.5, + "learning_rate": 5.454164808265057e-05, + "loss": 4.7756, + "mean_token_accuracy": 0.25042637884616853, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.596786975860596, + "epoch": 9.411688869789428, + "grad_norm": 1.453125, + "learning_rate": 5.447542320705532e-05, + "loss": 4.6944, + "mean_token_accuracy": 0.26209963411092757, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.683409118652344, + "epoch": 9.415986248388483, + "grad_norm": 1.4921875, + "learning_rate": 5.440967986899289e-05, + "loss": 4.8065, + "mean_token_accuracy": 0.24011071175336837, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.660010576248169, + "epoch": 9.420283626987537, + "grad_norm": 1.4453125, + "learning_rate": 5.434441821202042e-05, + "loss": 4.7322, + "mean_token_accuracy": 0.25771835893392564, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.6490149974823, + "epoch": 9.424581005586592, + "grad_norm": 1.4765625, + "learning_rate": 5.42796383786433e-05, + "loss": 4.7765, + "mean_token_accuracy": 0.24860167354345322, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.646113681793213, + "epoch": 9.428878384185646, + "grad_norm": 1.3359375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.7791, + "mean_token_accuracy": 0.247910475730896, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.649462270736694, + "epoch": 9.433175762784701, + "grad_norm": 1.328125, + "learning_rate": 5.41515247474358e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.2510902941226959, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.700368213653564, + "epoch": 9.437473141383755, + "grad_norm": 1.3203125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.8708, + "mean_token_accuracy": 0.2423779547214508, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.615607881546021, + "epoch": 9.44177051998281, + "grad_norm": 1.4140625, + "learning_rate": 5.402534009436552e-05, + "loss": 4.7574, + "mean_token_accuracy": 0.2512508645653725, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.6874782085418705, + "epoch": 9.446067898581864, + "grad_norm": 1.4609375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8146, + "mean_token_accuracy": 0.24550059139728547, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.6440185546875, + "epoch": 9.45036527718092, + "grad_norm": 1.3984375, + "learning_rate": 5.390108552157935e-05, + "loss": 4.734, + "mean_token_accuracy": 0.25735636949539187, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.4661739087319585, + "eval_loss": 5.882833480834961, + "eval_mean_token_accuracy": 0.18411659976249342, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0463, + "eval_samples_per_second": 1734.317, + "eval_steps_per_second": 216.973, + "step": 11000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4496973565685760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11000/training_args.bin b/checkpoint-11000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-11000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-11500/added_tokens.json b/checkpoint-11500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11500/config.json b/checkpoint-11500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11500/generation_config.json b/checkpoint-11500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11500/model.safetensors b/checkpoint-11500/model.safetensors new file mode 100644 index 0000000..e92896b --- /dev/null +++ b/checkpoint-11500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21e2a0418e966e3c3b3a12370f049094105cdb8aba97386c12ec9cd57c0b486b +size 78179408 diff --git a/checkpoint-11500/rng_state.pth b/checkpoint-11500/rng_state.pth new file mode 100644 index 0000000..1e0c085 --- /dev/null +++ b/checkpoint-11500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8754e0e099e04a57cb2bf4021162d2050e7ff5004e5cbd80cf3ae1dccabc889 +size 14645 diff --git a/checkpoint-11500/special_tokens_map.json b/checkpoint-11500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11500/spiece.model b/checkpoint-11500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11500/tokenizer_config.json b/checkpoint-11500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11500/trainer_state.json b/checkpoint-11500/trainer_state.json new file mode 100644 index 0000000..e7d7547 --- /dev/null +++ b/checkpoint-11500/trainer_state.json @@ -0,0 +1,23287 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.880103137086378, + "eval_steps": 500, + "global_step": 11500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + }, + { + "entropy": 5.707862997055054, + "epoch": 8.165878813923507, + "grad_norm": 1.5, + "learning_rate": 9.297117626563687e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24201221615076066, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.6367637634277346, + "epoch": 8.170176192522561, + "grad_norm": 1.359375, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24783320277929305, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.614573669433594, + "epoch": 8.174473571121617, + "grad_norm": 1.2734375, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.25507569015026094, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.674180555343628, + "epoch": 8.17877094972067, + "grad_norm": 1.3671875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2445373848080635, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.619296503067017, + "epoch": 8.183068328319726, + "grad_norm": 1.3125, + "learning_rate": 9.219264678327527e-05, + "loss": 4.7775, + "mean_token_accuracy": 0.25314409881830213, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.620535802841187, + "epoch": 8.18736570691878, + "grad_norm": 1.390625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24970700591802597, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.7192747592926025, + "epoch": 8.191663085517835, + "grad_norm": 1.28125, + "learning_rate": 9.180577541342164e-05, + "loss": 4.8815, + "mean_token_accuracy": 0.24280520528554916, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.642719173431397, + "epoch": 8.195960464116888, + "grad_norm": 1.4375, + "learning_rate": 9.161293955196648e-05, + "loss": 4.7757, + "mean_token_accuracy": 0.25748146921396253, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.707903146743774, + "epoch": 8.200257842715944, + "grad_norm": 1.390625, + "learning_rate": 9.142050413455214e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.23902178555727005, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.672132682800293, + "epoch": 8.204555221314997, + "grad_norm": 1.3046875, + "learning_rate": 9.12284695813807e-05, + "loss": 4.8439, + "mean_token_accuracy": 0.25198720693588256, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.658090209960937, + "epoch": 8.208852599914053, + "grad_norm": 1.4609375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.778, + "mean_token_accuracy": 0.2557189479470253, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.621751546859741, + "epoch": 8.213149978513107, + "grad_norm": 1.6796875, + "learning_rate": 9.084560474419701e-05, + "loss": 4.7835, + "mean_token_accuracy": 0.25118696242570876, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.696748685836792, + "epoch": 8.217447357112162, + "grad_norm": 1.484375, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8066, + "mean_token_accuracy": 0.2443075641989708, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.665190410614014, + "epoch": 8.221744735711216, + "grad_norm": 1.515625, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.2463520273566246, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.7112932205200195, + "epoch": 8.226042114310271, + "grad_norm": 1.484375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9087, + "mean_token_accuracy": 0.2336752951145172, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.691789293289185, + "epoch": 8.230339492909325, + "grad_norm": 1.484375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24061028361320497, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.657401275634766, + "epoch": 8.23463687150838, + "grad_norm": 1.5078125, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.2478136107325554, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.613147830963134, + "epoch": 8.238934250107434, + "grad_norm": 1.4609375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.7774, + "mean_token_accuracy": 0.2528875932097435, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.673092412948608, + "epoch": 8.24323162870649, + "grad_norm": 1.34375, + "learning_rate": 8.951826639309257e-05, + "loss": 4.8428, + "mean_token_accuracy": 0.2408193603157997, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.613753366470337, + "epoch": 8.247529007305543, + "grad_norm": 1.484375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.24801580756902694, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.626958703994751, + "epoch": 8.251826385904598, + "grad_norm": 1.4765625, + "learning_rate": 8.914266583627684e-05, + "loss": 4.7602, + "mean_token_accuracy": 0.25679432451725004, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.705102348327637, + "epoch": 8.256123764503652, + "grad_norm": 1.5859375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2392795503139496, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.625812101364136, + "epoch": 8.260421143102707, + "grad_norm": 1.4140625, + "learning_rate": 8.876868863110013e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24406588524580003, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.704039239883423, + "epoch": 8.264718521701761, + "grad_norm": 1.359375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.2442236140370369, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.685574102401733, + "epoch": 8.269015900300817, + "grad_norm": 1.3203125, + "learning_rate": 8.839633804402747e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24362473785877228, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.6750462532043455, + "epoch": 8.27331327889987, + "grad_norm": 1.5234375, + "learning_rate": 8.821077374916647e-05, + "loss": 4.7961, + "mean_token_accuracy": 0.25050569921731947, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.600301933288574, + "epoch": 8.277610657498926, + "grad_norm": 1.46875, + "learning_rate": 8.802561732731654e-05, + "loss": 4.7754, + "mean_token_accuracy": 0.2526980236172676, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.719686460494995, + "epoch": 8.281908036097981, + "grad_norm": 1.3125, + "learning_rate": 8.784086918278534e-05, + "loss": 4.8649, + "mean_token_accuracy": 0.2339397519826889, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.607286500930786, + "epoch": 8.286205414697035, + "grad_norm": 1.359375, + "learning_rate": 8.765652971898908e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.25611190050840377, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.677676486968994, + "epoch": 8.29050279329609, + "grad_norm": 1.5390625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.25352744907140734, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.707070398330688, + "epoch": 8.294800171895144, + "grad_norm": 1.328125, + "learning_rate": 8.728907844280254e-05, + "loss": 4.8851, + "mean_token_accuracy": 0.23950794637203215, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.6442076683044435, + "epoch": 8.2990975504942, + "grad_norm": 1.515625, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24814968705177307, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.645054149627685, + "epoch": 8.303394929093253, + "grad_norm": 1.4609375, + "learning_rate": 8.692326670822207e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2519303172826767, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.663473224639892, + "epoch": 8.307692307692308, + "grad_norm": 1.3984375, + "learning_rate": 8.6740976668077e-05, + "loss": 4.7768, + "mean_token_accuracy": 0.25253538936376574, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.601699924468994, + "epoch": 8.311989686291362, + "grad_norm": 1.6015625, + "learning_rate": 8.655909771039239e-05, + "loss": 4.7722, + "mean_token_accuracy": 0.24630842208862305, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.668028783798218, + "epoch": 8.316287064890417, + "grad_norm": 1.6640625, + "learning_rate": 8.637763023231922e-05, + "loss": 4.8186, + "mean_token_accuracy": 0.2444746106863022, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.5484637260437015, + "epoch": 8.320584443489471, + "grad_norm": 1.46875, + "learning_rate": 8.619657463010987e-05, + "loss": 4.6988, + "mean_token_accuracy": 0.260918502509594, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.722867631912232, + "epoch": 8.324881822088527, + "grad_norm": 1.4921875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.8931, + "mean_token_accuracy": 0.241627100110054, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.686518335342408, + "epoch": 8.32917920068758, + "grad_norm": 1.34375, + "learning_rate": 8.583570063379487e-05, + "loss": 4.8181, + "mean_token_accuracy": 0.24606943130493164, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.644981908798218, + "epoch": 8.333476579286636, + "grad_norm": 1.484375, + "learning_rate": 8.565588302769374e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.24853309392929077, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.598904609680176, + "epoch": 8.33777395788569, + "grad_norm": 1.421875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.785, + "mean_token_accuracy": 0.2558070823550224, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.706678056716919, + "epoch": 8.342071336484745, + "grad_norm": 1.390625, + "learning_rate": 8.529748856285228e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.24797595292329788, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.658598756790161, + "epoch": 8.346368715083798, + "grad_norm": 1.4375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.782, + "mean_token_accuracy": 0.2595686510205269, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.688131809234619, + "epoch": 8.350666093682854, + "grad_norm": 1.5625, + "learning_rate": 8.494075103495245e-05, + "loss": 4.8469, + "mean_token_accuracy": 0.24513275921344757, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.676475381851196, + "epoch": 8.354963472281907, + "grad_norm": 1.390625, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8216, + "mean_token_accuracy": 0.24088364839553833, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.665163183212281, + "epoch": 8.359260850880963, + "grad_norm": 1.3515625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.891, + "mean_token_accuracy": 0.23809681534767152, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.628652429580688, + "epoch": 8.363558229480017, + "grad_norm": 1.234375, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8108, + "mean_token_accuracy": 0.243441666662693, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.656926536560059, + "epoch": 8.367855608079072, + "grad_norm": 1.3359375, + "learning_rate": 8.423225923902608e-05, + "loss": 4.7911, + "mean_token_accuracy": 0.25119892954826356, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.626911640167236, + "epoch": 8.372152986678126, + "grad_norm": 1.4765625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.7294, + "mean_token_accuracy": 0.26259505450725557, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.725198030471802, + "epoch": 8.376450365277181, + "grad_norm": 1.3359375, + "learning_rate": 8.388051115924781e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2378841072320938, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.666871118545532, + "epoch": 8.380747743876235, + "grad_norm": 1.4296875, + "learning_rate": 8.370526292042774e-05, + "loss": 4.7505, + "mean_token_accuracy": 0.2538667440414429, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.587338781356811, + "epoch": 8.38504512247529, + "grad_norm": 1.671875, + "learning_rate": 8.353043239285357e-05, + "loss": 4.7737, + "mean_token_accuracy": 0.2544986054301262, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.640384817123413, + "epoch": 8.389342501074344, + "grad_norm": 1.5546875, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8104, + "mean_token_accuracy": 0.242693130671978, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.6606762409210205, + "epoch": 8.3936398796734, + "grad_norm": 1.3828125, + "learning_rate": 8.318202599757008e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.24492816925048827, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.606284189224243, + "epoch": 8.397937258272453, + "grad_norm": 1.5078125, + "learning_rate": 8.30084508906411e-05, + "loss": 4.7323, + "mean_token_accuracy": 0.2531019449234009, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.618020248413086, + "epoch": 8.402234636871508, + "grad_norm": 1.5078125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8268, + "mean_token_accuracy": 0.24008245319128035, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.642845964431762, + "epoch": 8.406532015470564, + "grad_norm": 1.3671875, + "learning_rate": 8.266255875330095e-05, + "loss": 4.7733, + "mean_token_accuracy": 0.25374836176633836, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.627595281600952, + "epoch": 8.410829394069617, + "grad_norm": 1.4921875, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8114, + "mean_token_accuracy": 0.24691130816936493, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.655184364318847, + "epoch": 8.415126772668673, + "grad_norm": 1.2734375, + "learning_rate": 8.231834656742402e-05, + "loss": 4.8303, + "mean_token_accuracy": 0.24660495668649673, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.6911468505859375, + "epoch": 8.419424151267727, + "grad_norm": 1.4921875, + "learning_rate": 8.214687139638494e-05, + "loss": 4.833, + "mean_token_accuracy": 0.25070433020591737, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.6668381690979, + "epoch": 8.423721529866782, + "grad_norm": 1.5625, + "learning_rate": 8.197581733949597e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.2571685716509819, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.67210898399353, + "epoch": 8.428018908465836, + "grad_norm": 1.5703125, + "learning_rate": 8.180518477027083e-05, + "loss": 4.7963, + "mean_token_accuracy": 0.2531482130289078, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.551906299591065, + "epoch": 8.432316287064891, + "grad_norm": 1.3828125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7097, + "mean_token_accuracy": 0.2613152891397476, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.731686592102051, + "epoch": 8.436613665663945, + "grad_norm": 1.3828125, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9128, + "mean_token_accuracy": 0.23491355329751967, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.651397562026977, + "epoch": 8.440911044263, + "grad_norm": 1.484375, + "learning_rate": 8.129581970990507e-05, + "loss": 4.7678, + "mean_token_accuracy": 0.2589532405138016, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.655478382110596, + "epoch": 8.445208422862054, + "grad_norm": 1.546875, + "learning_rate": 8.11268768080528e-05, + "loss": 4.7926, + "mean_token_accuracy": 0.24893169701099396, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.679694795608521, + "epoch": 8.44950580146111, + "grad_norm": 1.5859375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24183138757944106, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.670652627944946, + "epoch": 8.453803180060163, + "grad_norm": 1.5859375, + "learning_rate": 8.079026139655946e-05, + "loss": 4.8412, + "mean_token_accuracy": 0.24176028072834016, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.590162706375122, + "epoch": 8.458100558659218, + "grad_norm": 1.4296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.7299, + "mean_token_accuracy": 0.2560922592878342, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.63255124092102, + "epoch": 8.462397937258272, + "grad_norm": 1.5859375, + "learning_rate": 8.04553422899167e-05, + "loss": 4.826, + "mean_token_accuracy": 0.24348948746919633, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.6421679019927975, + "epoch": 8.466695315857327, + "grad_norm": 1.3515625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.872, + "mean_token_accuracy": 0.24232618063688277, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.640596628189087, + "epoch": 8.470992694456381, + "grad_norm": 1.4140625, + "learning_rate": 8.01221224134408e-05, + "loss": 4.767, + "mean_token_accuracy": 0.2555935025215149, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.6605424880981445, + "epoch": 8.475290073055437, + "grad_norm": 1.4765625, + "learning_rate": 7.995615059661907e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.24309351146221161, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.669471883773804, + "epoch": 8.47958745165449, + "grad_norm": 1.4609375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.824, + "mean_token_accuracy": 0.24673386365175248, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.629602289199829, + "epoch": 8.483884830253546, + "grad_norm": 1.5390625, + "learning_rate": 7.962548501788811e-05, + "loss": 4.7397, + "mean_token_accuracy": 0.2527197152376175, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.647467613220215, + "epoch": 8.4881822088526, + "grad_norm": 1.484375, + "learning_rate": 7.946079197802028e-05, + "loss": 4.827, + "mean_token_accuracy": 0.23749534040689468, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.648807525634766, + "epoch": 8.492479587451655, + "grad_norm": 1.609375, + "learning_rate": 7.929652591762636e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24475187957286834, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.630274534225464, + "epoch": 8.496776966050708, + "grad_norm": 1.5703125, + "learning_rate": 7.913268719539785e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24791176468133927, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.617410373687744, + "epoch": 8.501074344649764, + "grad_norm": 1.40625, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7157, + "mean_token_accuracy": 0.2596577987074852, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.6985677719116214, + "epoch": 8.505371723248818, + "grad_norm": 1.3359375, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.2542118713259697, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.660664224624634, + "epoch": 8.509669101847873, + "grad_norm": 1.3984375, + "learning_rate": 7.864373863061717e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2512780398130417, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.619579887390136, + "epoch": 8.513966480446927, + "grad_norm": 1.5546875, + "learning_rate": 7.848161282929006e-05, + "loss": 4.7944, + "mean_token_accuracy": 0.24880642294883729, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.679474544525147, + "epoch": 8.518263859045982, + "grad_norm": 1.5, + "learning_rate": 7.831991614557274e-05, + "loss": 4.8348, + "mean_token_accuracy": 0.23917439728975295, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.6579587936401365, + "epoch": 8.522561237645036, + "grad_norm": 1.515625, + "learning_rate": 7.815864893254619e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2455276608467102, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.663690233230591, + "epoch": 8.526858616244091, + "grad_norm": 1.4140625, + "learning_rate": 7.799781154235361e-05, + "loss": 4.8306, + "mean_token_accuracy": 0.24498046338558196, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.722172498703003, + "epoch": 8.531155994843147, + "grad_norm": 1.6015625, + "learning_rate": 7.783740432619954e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.2334560737013817, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.644006681442261, + "epoch": 8.5354533734422, + "grad_norm": 1.4921875, + "learning_rate": 7.767742763434922e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2409740775823593, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.589591312408447, + "epoch": 8.539750752041256, + "grad_norm": 1.4140625, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7222, + "mean_token_accuracy": 0.25535061210393906, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.667737579345703, + "epoch": 8.54404813064031, + "grad_norm": 1.5, + "learning_rate": 7.735876721991945e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24178892970085145, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.685311031341553, + "epoch": 8.548345509239365, + "grad_norm": 1.3203125, + "learning_rate": 7.720008419316708e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24099551886320114, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.613406562805176, + "epoch": 8.552642887838418, + "grad_norm": 1.375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.7478, + "mean_token_accuracy": 0.256206014752388, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.592525625228882, + "epoch": 8.556940266437474, + "grad_norm": 1.3515625, + "learning_rate": 7.688401423308799e-05, + "loss": 4.758, + "mean_token_accuracy": 0.25166425555944444, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.575402688980103, + "epoch": 8.561237645036528, + "grad_norm": 1.5703125, + "learning_rate": 7.672662798993174e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.25995253920555117, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.668489742279053, + "epoch": 8.565535023635583, + "grad_norm": 1.4296875, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8124, + "mean_token_accuracy": 0.24452023208141327, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.618843078613281, + "epoch": 8.569832402234637, + "grad_norm": 1.4140625, + "learning_rate": 7.641315469572841e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.2510646566748619, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.674667453765869, + "epoch": 8.574129780833692, + "grad_norm": 1.3125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8343, + "mean_token_accuracy": 0.24694945514202118, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.677858638763428, + "epoch": 8.578427159432746, + "grad_norm": 1.4375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.9126, + "mean_token_accuracy": 0.23654921650886535, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.656866931915284, + "epoch": 8.582724538031801, + "grad_norm": 1.4609375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.8304, + "mean_token_accuracy": 0.23874644041061402, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.644109725952148, + "epoch": 8.587021916630855, + "grad_norm": 1.515625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.2478152796626091, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.652941131591797, + "epoch": 8.59131929522991, + "grad_norm": 1.578125, + "learning_rate": 7.563706600833737e-05, + "loss": 4.8194, + "mean_token_accuracy": 0.24661646783351898, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.45993368367891, + "eval_loss": 5.879827976226807, + "eval_mean_token_accuracy": 0.1841710262034122, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0477, + "eval_samples_per_second": 1733.145, + "eval_steps_per_second": 216.826, + "step": 10000 + }, + { + "entropy": 5.582108640670777, + "epoch": 8.595616673828964, + "grad_norm": 1.6484375, + "learning_rate": 7.548315290675886e-05, + "loss": 4.7544, + "mean_token_accuracy": 0.2536217987537384, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.594784164428711, + "epoch": 8.59991405242802, + "grad_norm": 1.375, + "learning_rate": 7.532967547022825e-05, + "loss": 4.7644, + "mean_token_accuracy": 0.25198703110218046, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.632088756561279, + "epoch": 8.604211431027073, + "grad_norm": 1.515625, + "learning_rate": 7.517663403387874e-05, + "loss": 4.8489, + "mean_token_accuracy": 0.24825350791215897, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.578985023498535, + "epoch": 8.608508809626128, + "grad_norm": 1.4765625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.7289, + "mean_token_accuracy": 0.25674757063388826, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.71737813949585, + "epoch": 8.612806188225182, + "grad_norm": 1.328125, + "learning_rate": 7.487186049749618e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.2366224303841591, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.631614637374878, + "epoch": 8.617103566824238, + "grad_norm": 1.40625, + "learning_rate": 7.472012906296658e-05, + "loss": 4.7979, + "mean_token_accuracy": 0.24905427694320678, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.615096664428711, + "epoch": 8.621400945423291, + "grad_norm": 1.2265625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.7738, + "mean_token_accuracy": 0.2522251158952713, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.646911573410034, + "epoch": 8.625698324022347, + "grad_norm": 1.4609375, + "learning_rate": 7.441797851783402e-05, + "loss": 4.8238, + "mean_token_accuracy": 0.2428828716278076, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.627325582504272, + "epoch": 8.6299957026214, + "grad_norm": 1.515625, + "learning_rate": 7.426756006700716e-05, + "loss": 4.7666, + "mean_token_accuracy": 0.25277192890644073, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.686093473434449, + "epoch": 8.634293081220456, + "grad_norm": 1.5703125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.889, + "mean_token_accuracy": 0.24558345079421998, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.702205467224121, + "epoch": 8.63859045981951, + "grad_norm": 1.4765625, + "learning_rate": 7.396803845110032e-05, + "loss": 4.8488, + "mean_token_accuracy": 0.25144137591123583, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.66311354637146, + "epoch": 8.642887838418565, + "grad_norm": 1.4453125, + "learning_rate": 7.381893594005585e-05, + "loss": 4.8137, + "mean_token_accuracy": 0.24637157917022706, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.6392535209655765, + "epoch": 8.647185217017618, + "grad_norm": 1.453125, + "learning_rate": 7.367027272804387e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24758926182985305, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.656706380844116, + "epoch": 8.651482595616674, + "grad_norm": 1.3984375, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.24841432571411132, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.6700053215026855, + "epoch": 8.65577997421573, + "grad_norm": 1.2265625, + "learning_rate": 7.337426549864175e-05, + "loss": 4.8512, + "mean_token_accuracy": 0.24023033082485198, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.655622768402099, + "epoch": 8.660077352814783, + "grad_norm": 1.2890625, + "learning_rate": 7.322692212761306e-05, + "loss": 4.8588, + "mean_token_accuracy": 0.24819429963827133, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.672299194335937, + "epoch": 8.664374731413837, + "grad_norm": 1.5234375, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8068, + "mean_token_accuracy": 0.24570150524377823, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.6919238567352295, + "epoch": 8.668672110012892, + "grad_norm": 1.46875, + "learning_rate": 7.29335574815948e-05, + "loss": 4.7831, + "mean_token_accuracy": 0.24971666783094407, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.647150468826294, + "epoch": 8.672969488611947, + "grad_norm": 1.3046875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8084, + "mean_token_accuracy": 0.2445070579648018, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.6693848133087155, + "epoch": 8.677266867211001, + "grad_norm": 1.4765625, + "learning_rate": 7.264195776399386e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2455286830663681, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.631603240966797, + "epoch": 8.681564245810057, + "grad_norm": 1.390625, + "learning_rate": 7.249682054987381e-05, + "loss": 4.7488, + "mean_token_accuracy": 0.25079986453056335, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.709641027450561, + "epoch": 8.68586162440911, + "grad_norm": 1.34375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.23537713289260864, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.6438311576843265, + "epoch": 8.690159003008166, + "grad_norm": 1.3984375, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8076, + "mean_token_accuracy": 0.2504834607243538, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.618740224838257, + "epoch": 8.69445638160722, + "grad_norm": 1.5234375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7024, + "mean_token_accuracy": 0.25854243636131286, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.633188009262085, + "epoch": 8.698753760206275, + "grad_norm": 1.4296875, + "learning_rate": 7.192069670816359e-05, + "loss": 4.8576, + "mean_token_accuracy": 0.241273033618927, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.624459218978882, + "epoch": 8.703051138805328, + "grad_norm": 1.59375, + "learning_rate": 7.177777357395912e-05, + "loss": 4.7869, + "mean_token_accuracy": 0.2525374382734299, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.629094934463501, + "epoch": 8.707348517404384, + "grad_norm": 1.4765625, + "learning_rate": 7.163529419587002e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.24723465293645858, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.711287641525269, + "epoch": 8.711645896003438, + "grad_norm": 1.421875, + "learning_rate": 7.149325888501418e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24357055127620697, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.641200685501099, + "epoch": 8.715943274602493, + "grad_norm": 1.3515625, + "learning_rate": 7.135166795153992e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2550801619887352, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.671554136276245, + "epoch": 8.720240653201547, + "grad_norm": 1.453125, + "learning_rate": 7.121052170462541e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24792980551719665, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.579294300079345, + "epoch": 8.724538031800602, + "grad_norm": 1.5390625, + "learning_rate": 7.106982045247754e-05, + "loss": 4.6967, + "mean_token_accuracy": 0.26570699363946915, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.6380534172058105, + "epoch": 8.728835410399656, + "grad_norm": 1.3984375, + "learning_rate": 7.092956450233162e-05, + "loss": 4.8613, + "mean_token_accuracy": 0.2413666471838951, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.6795158863067625, + "epoch": 8.733132788998711, + "grad_norm": 1.3203125, + "learning_rate": 7.078975416045055e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.2507988974452019, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.592861557006836, + "epoch": 8.737430167597765, + "grad_norm": 1.6484375, + "learning_rate": 7.065038973212424e-05, + "loss": 4.6759, + "mean_token_accuracy": 0.260982346534729, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.639511489868164, + "epoch": 8.74172754619682, + "grad_norm": 1.5703125, + "learning_rate": 7.051147152166896e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.252939784526825, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.585833978652954, + "epoch": 8.746024924795874, + "grad_norm": 1.2265625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.7762, + "mean_token_accuracy": 0.25288844257593157, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.6570563316345215, + "epoch": 8.75032230339493, + "grad_norm": 1.4140625, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8169, + "mean_token_accuracy": 0.24400742948055268, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.645201253890991, + "epoch": 8.754619681993983, + "grad_norm": 1.296875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.7747, + "mean_token_accuracy": 0.25545826405286787, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.678719329833984, + "epoch": 8.758917060593038, + "grad_norm": 1.40625, + "learning_rate": 6.996026691076531e-05, + "loss": 4.9283, + "mean_token_accuracy": 0.2372728779911995, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.646335554122925, + "epoch": 8.763214439192092, + "grad_norm": 1.390625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.7396, + "mean_token_accuracy": 0.2493108794093132, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.754535675048828, + "epoch": 8.767511817791148, + "grad_norm": 1.453125, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23316902965307235, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.613467741012573, + "epoch": 8.771809196390201, + "grad_norm": 1.4375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2547129586338997, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.715860271453858, + "epoch": 8.776106574989257, + "grad_norm": 1.4609375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.8939, + "mean_token_accuracy": 0.2358478605747223, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.6053954601287845, + "epoch": 8.780403953588312, + "grad_norm": 1.484375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.7973, + "mean_token_accuracy": 0.24966762959957123, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.650966930389404, + "epoch": 8.784701332187366, + "grad_norm": 1.4921875, + "learning_rate": 6.914689765206899e-05, + "loss": 4.722, + "mean_token_accuracy": 0.2569688901305199, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.668413829803467, + "epoch": 8.78899871078642, + "grad_norm": 1.5546875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25286874175071716, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.673072862625122, + "epoch": 8.793296089385475, + "grad_norm": 1.2265625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.8267, + "mean_token_accuracy": 0.24095726311206817, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.602101993560791, + "epoch": 8.79759346798453, + "grad_norm": 1.3984375, + "learning_rate": 6.874627729967086e-05, + "loss": 4.7614, + "mean_token_accuracy": 0.25367412269115447, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.634996032714843, + "epoch": 8.801890846583584, + "grad_norm": 1.3125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.25228522568941114, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.583075428009034, + "epoch": 8.80618822518264, + "grad_norm": 1.53125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.762, + "mean_token_accuracy": 0.25409252345561983, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.593589639663696, + "epoch": 8.810485603781693, + "grad_norm": 1.4765625, + "learning_rate": 6.834971032259537e-05, + "loss": 4.7551, + "mean_token_accuracy": 0.24724589586257933, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.59733476638794, + "epoch": 8.814782982380748, + "grad_norm": 1.5234375, + "learning_rate": 6.821842342962786e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.2560932472348213, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.605298137664795, + "epoch": 8.819080360979802, + "grad_norm": 1.453125, + "learning_rate": 6.808758806497375e-05, + "loss": 4.7547, + "mean_token_accuracy": 0.25770940631628036, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.668881273269653, + "epoch": 8.823377739578858, + "grad_norm": 1.4921875, + "learning_rate": 6.795720451432509e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2539924278855324, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.653170919418335, + "epoch": 8.827675118177911, + "grad_norm": 1.3359375, + "learning_rate": 6.782727306238749e-05, + "loss": 4.8899, + "mean_token_accuracy": 0.23995666801929474, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.571465110778808, + "epoch": 8.831972496776967, + "grad_norm": 1.578125, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.2465637966990471, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.609991598129272, + "epoch": 8.83626987537602, + "grad_norm": 1.40625, + "learning_rate": 6.756876758853104e-05, + "loss": 4.7832, + "mean_token_accuracy": 0.24858400970697403, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.614251518249512, + "epoch": 8.840567253975076, + "grad_norm": 1.671875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25418430119752883, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.661041927337647, + "epoch": 8.84486463257413, + "grad_norm": 1.453125, + "learning_rate": 6.731207390129366e-05, + "loss": 4.8443, + "mean_token_accuracy": 0.23748955130577087, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.648515462875366, + "epoch": 8.849162011173185, + "grad_norm": 1.265625, + "learning_rate": 6.7184407178921e-05, + "loss": 4.8226, + "mean_token_accuracy": 0.25025610327720643, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.668762063980102, + "epoch": 8.853459389772238, + "grad_norm": 1.5390625, + "learning_rate": 6.70571942427399e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24509814977645875, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.696825885772705, + "epoch": 8.857756768371294, + "grad_norm": 1.484375, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9, + "mean_token_accuracy": 0.23831938505172728, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.636625862121582, + "epoch": 8.862054146970348, + "grad_norm": 1.4453125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2473379299044609, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.678902578353882, + "epoch": 8.866351525569403, + "grad_norm": 1.34375, + "learning_rate": 6.667828092420977e-05, + "loss": 4.8471, + "mean_token_accuracy": 0.24866860657930373, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.607882404327393, + "epoch": 8.870648904168457, + "grad_norm": 1.375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.7921, + "mean_token_accuracy": 0.254789824783802, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.594926452636718, + "epoch": 8.874946282767512, + "grad_norm": 1.375, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.24797703474760055, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.618593168258667, + "epoch": 8.879243661366566, + "grad_norm": 1.3984375, + "learning_rate": 6.630346162204069e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.2526925429701805, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.6028295993804935, + "epoch": 8.883541039965621, + "grad_norm": 1.6484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.6939, + "mean_token_accuracy": 0.25986738353967664, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.710940647125244, + "epoch": 8.887838418564675, + "grad_norm": 1.6171875, + "learning_rate": 6.605586018168558e-05, + "loss": 4.81, + "mean_token_accuracy": 0.24979257434606553, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.683839225769043, + "epoch": 8.89213579716373, + "grad_norm": 1.34375, + "learning_rate": 6.593274370232191e-05, + "loss": 4.8327, + "mean_token_accuracy": 0.2464034602046013, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.628410482406617, + "epoch": 8.896433175762784, + "grad_norm": 1.3359375, + "learning_rate": 6.581008374228255e-05, + "loss": 4.7908, + "mean_token_accuracy": 0.2461797282099724, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.622152996063233, + "epoch": 8.90073055436184, + "grad_norm": 1.4296875, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8165, + "mean_token_accuracy": 0.2465150237083435, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6243490219116214, + "epoch": 8.905027932960895, + "grad_norm": 1.359375, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7228, + "mean_token_accuracy": 0.25819993317127227, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.675375461578369, + "epoch": 8.909325311559948, + "grad_norm": 1.3515625, + "learning_rate": 6.544484565152577e-05, + "loss": 4.7937, + "mean_token_accuracy": 0.2524940297007561, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.635634279251098, + "epoch": 8.913622690159002, + "grad_norm": 1.65625, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8251, + "mean_token_accuracy": 0.24945158213377, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.646540689468384, + "epoch": 8.917920068758058, + "grad_norm": 1.265625, + "learning_rate": 6.520364107143898e-05, + "loss": 4.8436, + "mean_token_accuracy": 0.24798599183559417, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.6593023300170895, + "epoch": 8.922217447357113, + "grad_norm": 1.375, + "learning_rate": 6.50837258170615e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24874897450208663, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.668875980377197, + "epoch": 8.926514825956167, + "grad_norm": 1.3984375, + "learning_rate": 6.496426893592397e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.2391132190823555, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.667122745513916, + "epoch": 8.930812204555222, + "grad_norm": 1.5234375, + "learning_rate": 6.484527068887258e-05, + "loss": 4.8371, + "mean_token_accuracy": 0.24273379147052765, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.638441038131714, + "epoch": 8.935109583154276, + "grad_norm": 1.546875, + "learning_rate": 6.472673133575181e-05, + "loss": 4.7597, + "mean_token_accuracy": 0.24820929765701294, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.664800548553467, + "epoch": 8.939406961753331, + "grad_norm": 1.5, + "learning_rate": 6.460865113540437e-05, + "loss": 4.7591, + "mean_token_accuracy": 0.25227137207984923, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.680027961730957, + "epoch": 8.943704340352385, + "grad_norm": 1.40625, + "learning_rate": 6.449103034567011e-05, + "loss": 4.7592, + "mean_token_accuracy": 0.2561339348554611, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.664671468734741, + "epoch": 8.94800171895144, + "grad_norm": 1.484375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.861, + "mean_token_accuracy": 0.240652696788311, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.666413927078247, + "epoch": 8.952299097550494, + "grad_norm": 1.5078125, + "learning_rate": 6.425716802438479e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.24916145354509353, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.626944637298584, + "epoch": 8.95659647614955, + "grad_norm": 1.53125, + "learning_rate": 6.414092700349548e-05, + "loss": 4.804, + "mean_token_accuracy": 0.25158223062753676, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.677120351791382, + "epoch": 8.960893854748603, + "grad_norm": 1.453125, + "learning_rate": 6.402514641454192e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23440527617931367, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.629398536682129, + "epoch": 8.965191233347658, + "grad_norm": 1.3515625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24613251239061357, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.608459091186523, + "epoch": 8.969488611946712, + "grad_norm": 1.59375, + "learning_rate": 6.379496754271044e-05, + "loss": 4.6478, + "mean_token_accuracy": 0.2624844193458557, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.566482067108154, + "epoch": 8.973785990545768, + "grad_norm": 1.5703125, + "learning_rate": 6.368056976245107e-05, + "loss": 4.6832, + "mean_token_accuracy": 0.27008168697357177, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.61891360282898, + "epoch": 8.978083369144821, + "grad_norm": 1.546875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.7809, + "mean_token_accuracy": 0.24728458374738693, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.63971700668335, + "epoch": 8.982380747743877, + "grad_norm": 1.515625, + "learning_rate": 6.345315876223977e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.25158697068691255, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.617656993865967, + "epoch": 8.98667812634293, + "grad_norm": 1.4765625, + "learning_rate": 6.334014603886256e-05, + "loss": 4.8081, + "mean_token_accuracy": 0.25301000475883484, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.6047585010528564, + "epoch": 8.990975504941986, + "grad_norm": 1.5546875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.7627, + "mean_token_accuracy": 0.24849656075239182, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.575642251968384, + "epoch": 8.99527288354104, + "grad_norm": 1.4375, + "learning_rate": 6.311550737943753e-05, + "loss": 4.7483, + "mean_token_accuracy": 0.257401143014431, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.665790462493897, + "epoch": 8.999570262140095, + "grad_norm": 1.4296875, + "learning_rate": 6.300388193391075e-05, + "loss": 4.8158, + "mean_token_accuracy": 0.24791148900985718, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.64085324605306, + "epoch": 9.003437902879243, + "grad_norm": 1.390625, + "learning_rate": 6.289271940317174e-05, + "loss": 4.8769, + "mean_token_accuracy": 0.2419930464691586, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.6130658149719235, + "epoch": 9.007735281478299, + "grad_norm": 1.4375, + "learning_rate": 6.278202002995497e-05, + "loss": 4.7878, + "mean_token_accuracy": 0.25171366333961487, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.610973453521728, + "epoch": 9.012032660077352, + "grad_norm": 1.5078125, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7215, + "mean_token_accuracy": 0.2603663995862007, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.675764322280884, + "epoch": 9.016330038676408, + "grad_norm": 1.453125, + "learning_rate": 6.256201172196921e-05, + "loss": 4.7783, + "mean_token_accuracy": 0.25133358389139177, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.640312767028808, + "epoch": 9.020627417275461, + "grad_norm": 1.390625, + "learning_rate": 6.245270326761034e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.2465323805809021, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.4709870262188955, + "eval_loss": 5.88071870803833, + "eval_mean_token_accuracy": 0.18410248618136654, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0494, + "eval_samples_per_second": 1731.732, + "eval_steps_per_second": 216.649, + "step": 10500 + }, + { + "entropy": 5.669859838485718, + "epoch": 9.024924795874517, + "grad_norm": 1.53125, + "learning_rate": 6.234385893159311e-05, + "loss": 4.7838, + "mean_token_accuracy": 0.2515318378806114, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.657605171203613, + "epoch": 9.02922217447357, + "grad_norm": 1.5234375, + "learning_rate": 6.223547895159009e-05, + "loss": 4.7404, + "mean_token_accuracy": 0.25628202855587007, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.5712086200714115, + "epoch": 9.033519553072626, + "grad_norm": 1.4375, + "learning_rate": 6.212756356425978e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.25828822106122973, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.645226001739502, + "epoch": 9.03781693167168, + "grad_norm": 1.4140625, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8116, + "mean_token_accuracy": 0.24831810742616653, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.679613542556763, + "epoch": 9.042114310270735, + "grad_norm": 1.3671875, + "learning_rate": 6.191312750917855e-05, + "loss": 4.8263, + "mean_token_accuracy": 0.2535302057862282, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.622981262207031, + "epoch": 9.046411688869789, + "grad_norm": 1.4765625, + "learning_rate": 6.180660730967036e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2522904068231583, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.683325624465942, + "epoch": 9.050709067468844, + "grad_norm": 1.4609375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.24987991899251938, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.64924807548523, + "epoch": 9.055006446067898, + "grad_norm": 1.515625, + "learning_rate": 6.159496372970584e-05, + "loss": 4.7187, + "mean_token_accuracy": 0.24842094928026198, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.594881010055542, + "epoch": 9.059303824666953, + "grad_norm": 1.3125, + "learning_rate": 6.148984081139454e-05, + "loss": 4.7702, + "mean_token_accuracy": 0.250566403567791, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.676750993728637, + "epoch": 9.063601203266007, + "grad_norm": 1.2109375, + "learning_rate": 6.138518411393163e-05, + "loss": 4.8824, + "mean_token_accuracy": 0.23818726986646652, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.6487244129180905, + "epoch": 9.067898581865062, + "grad_norm": 1.46875, + "learning_rate": 6.128099386584548e-05, + "loss": 4.7894, + "mean_token_accuracy": 0.25352845937013624, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.652242422103882, + "epoch": 9.072195960464116, + "grad_norm": 1.46875, + "learning_rate": 6.1177270294646e-05, + "loss": 4.8136, + "mean_token_accuracy": 0.24836055785417557, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.592644214630127, + "epoch": 9.076493339063171, + "grad_norm": 1.46875, + "learning_rate": 6.107401362682401e-05, + "loss": 4.8297, + "mean_token_accuracy": 0.24406633228063584, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.617107391357422, + "epoch": 9.080790717662227, + "grad_norm": 1.328125, + "learning_rate": 6.097122408785076e-05, + "loss": 4.7995, + "mean_token_accuracy": 0.24826500862836837, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.664296865463257, + "epoch": 9.08508809626128, + "grad_norm": 1.421875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.775, + "mean_token_accuracy": 0.25444269776344297, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.598661231994629, + "epoch": 9.089385474860336, + "grad_norm": 1.546875, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7082, + "mean_token_accuracy": 0.2616791486740112, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.6352826118469235, + "epoch": 9.09368285345939, + "grad_norm": 1.4140625, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.24676432013511657, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.6875403881072994, + "epoch": 9.097980232058445, + "grad_norm": 1.4921875, + "learning_rate": 6.05647416941601e-05, + "loss": 4.8437, + "mean_token_accuracy": 0.2471165433526039, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.616286373138427, + "epoch": 9.102277610657499, + "grad_norm": 1.4375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.6969, + "mean_token_accuracy": 0.25456131249666214, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.664317655563354, + "epoch": 9.106574989256554, + "grad_norm": 1.4609375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8135, + "mean_token_accuracy": 0.24456136524677277, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.697394466400146, + "epoch": 9.110872367855608, + "grad_norm": 1.484375, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24979521930217743, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.682855892181396, + "epoch": 9.115169746454663, + "grad_norm": 1.296875, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.7746, + "mean_token_accuracy": 0.242179574072361, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.6265136241912845, + "epoch": 9.119467125053717, + "grad_norm": 1.3046875, + "learning_rate": 6.006717573275138e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.2574576482176781, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.661381340026855, + "epoch": 9.123764503652772, + "grad_norm": 1.1953125, + "learning_rate": 5.996906965854093e-05, + "loss": 4.8359, + "mean_token_accuracy": 0.2464934766292572, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.669901990890503, + "epoch": 9.128061882251826, + "grad_norm": 1.5546875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.24552787095308304, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.583899021148682, + "epoch": 9.132359260850881, + "grad_norm": 1.484375, + "learning_rate": 5.977426634813338e-05, + "loss": 4.7378, + "mean_token_accuracy": 0.2557566374540329, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.6959641456604, + "epoch": 9.136656639449935, + "grad_norm": 1.5, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9001, + "mean_token_accuracy": 0.23603728413581848, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.678333759307861, + "epoch": 9.14095401804899, + "grad_norm": 1.4296875, + "learning_rate": 5.958134290460888e-05, + "loss": 4.8093, + "mean_token_accuracy": 0.24847684800624847, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.594663047790528, + "epoch": 9.145251396648044, + "grad_norm": 1.21875, + "learning_rate": 5.94855866601539e-05, + "loss": 4.7344, + "mean_token_accuracy": 0.25321966260671613, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.658229923248291, + "epoch": 9.1495487752471, + "grad_norm": 1.4609375, + "learning_rate": 5.939030101303724e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.24839598089456558, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.663689517974854, + "epoch": 9.153846153846153, + "grad_norm": 1.515625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.7355, + "mean_token_accuracy": 0.25522763580083846, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.598207283020019, + "epoch": 9.158143532445209, + "grad_norm": 1.5703125, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.25508318692445753, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.693424034118652, + "epoch": 9.162440911044262, + "grad_norm": 1.4296875, + "learning_rate": 5.910726973123451e-05, + "loss": 4.8644, + "mean_token_accuracy": 0.23823002427816392, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.642845821380615, + "epoch": 9.166738289643318, + "grad_norm": 1.453125, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8062, + "mean_token_accuracy": 0.25551503002643583, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.684504127502441, + "epoch": 9.171035668242371, + "grad_norm": 1.515625, + "learning_rate": 5.892093898384017e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.25086683183908465, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.649334859848023, + "epoch": 9.175333046841427, + "grad_norm": 1.484375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8012, + "mean_token_accuracy": 0.2486447736620903, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.533756256103516, + "epoch": 9.17963042544048, + "grad_norm": 1.6015625, + "learning_rate": 5.873649555662836e-05, + "loss": 4.6407, + "mean_token_accuracy": 0.2578012332320213, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.624078559875488, + "epoch": 9.183927804039536, + "grad_norm": 1.4765625, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.7787, + "mean_token_accuracy": 0.2532876804471016, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.625823307037353, + "epoch": 9.18822518263859, + "grad_norm": 1.4296875, + "learning_rate": 5.85539410606011e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.2507260128855705, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.620725297927857, + "epoch": 9.192522561237645, + "grad_norm": 1.46875, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.7071, + "mean_token_accuracy": 0.25606116056442263, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.626107978820801, + "epoch": 9.196819939836699, + "grad_norm": 1.4375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.8369, + "mean_token_accuracy": 0.24323922097682954, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.652804756164551, + "epoch": 9.201117318435754, + "grad_norm": 1.3828125, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.8259, + "mean_token_accuracy": 0.25096631944179537, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.642743730545044, + "epoch": 9.20541469703481, + "grad_norm": 1.5, + "learning_rate": 5.819450522360096e-05, + "loss": 4.7641, + "mean_token_accuracy": 0.2504918292164803, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.663795518875122, + "epoch": 9.209712075633863, + "grad_norm": 1.5546875, + "learning_rate": 5.810582931775362e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2489721119403839, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.652674436569214, + "epoch": 9.214009454232919, + "grad_norm": 1.453125, + "learning_rate": 5.801762702208317e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.24531738311052323, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.5886533737182615, + "epoch": 9.218306832831972, + "grad_norm": 1.4765625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.7238, + "mean_token_accuracy": 0.25462878197431565, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.619577884674072, + "epoch": 9.222604211431028, + "grad_norm": 1.265625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7174, + "mean_token_accuracy": 0.25512780994176865, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.601106023788452, + "epoch": 9.226901590030081, + "grad_norm": 1.5625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.7573, + "mean_token_accuracy": 0.2493024155497551, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.605829763412475, + "epoch": 9.231198968629137, + "grad_norm": 1.3046875, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.7487, + "mean_token_accuracy": 0.25207943469285965, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.604989385604858, + "epoch": 9.23549634722819, + "grad_norm": 1.46875, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.713, + "mean_token_accuracy": 0.25506144762039185, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.64974570274353, + "epoch": 9.239793725827246, + "grad_norm": 1.453125, + "learning_rate": 5.749836977485013e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.24881967455148696, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.593701410293579, + "epoch": 9.2440911044263, + "grad_norm": 1.3515625, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7131, + "mean_token_accuracy": 0.2589977756142616, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.649643993377685, + "epoch": 9.248388483025355, + "grad_norm": 1.4140625, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.25246872156858446, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.668751621246338, + "epoch": 9.252685861624409, + "grad_norm": 1.71875, + "learning_rate": 5.724515025616409e-05, + "loss": 4.7713, + "mean_token_accuracy": 0.2551438122987747, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.6279136657714846, + "epoch": 9.256983240223464, + "grad_norm": 1.3828125, + "learning_rate": 5.716169448433832e-05, + "loss": 4.7687, + "mean_token_accuracy": 0.24954331517219544, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.627971220016479, + "epoch": 9.261280618822518, + "grad_norm": 1.484375, + "learning_rate": 5.707871438430255e-05, + "loss": 4.7989, + "mean_token_accuracy": 0.2460992693901062, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.626669549942017, + "epoch": 9.265577997421573, + "grad_norm": 1.5859375, + "learning_rate": 5.699621013725218e-05, + "loss": 4.8064, + "mean_token_accuracy": 0.25317208766937255, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.5840527534484865, + "epoch": 9.269875376020627, + "grad_norm": 1.4296875, + "learning_rate": 5.691418192334352e-05, + "loss": 4.7339, + "mean_token_accuracy": 0.25829588919878005, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.624117422103882, + "epoch": 9.274172754619682, + "grad_norm": 1.421875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.8399, + "mean_token_accuracy": 0.24457038044929505, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.592050504684448, + "epoch": 9.278470133218736, + "grad_norm": 1.390625, + "learning_rate": 5.675155431037876e-05, + "loss": 4.7706, + "mean_token_accuracy": 0.24704843759536743, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.602861404418945, + "epoch": 9.282767511817791, + "grad_norm": 1.4609375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.7443, + "mean_token_accuracy": 0.2627954468131065, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.675701236724853, + "epoch": 9.287064890416845, + "grad_norm": 1.4453125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7119, + "mean_token_accuracy": 0.254921193420887, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.656910228729248, + "epoch": 9.2913622690159, + "grad_norm": 1.3125, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.831, + "mean_token_accuracy": 0.25122607201337815, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.676870679855346, + "epoch": 9.295659647614954, + "grad_norm": 1.5546875, + "learning_rate": 5.643201929359809e-05, + "loss": 4.7776, + "mean_token_accuracy": 0.25071688145399096, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.65682954788208, + "epoch": 9.29995702621401, + "grad_norm": 1.625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2555884286761284, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.601188468933105, + "epoch": 9.304254404813063, + "grad_norm": 1.375, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.7557, + "mean_token_accuracy": 0.2584034129977226, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.618824768066406, + "epoch": 9.308551783412119, + "grad_norm": 1.578125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.2524507701396942, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.558388423919678, + "epoch": 9.312849162011172, + "grad_norm": 1.46875, + "learning_rate": 5.612012049771823e-05, + "loss": 4.6273, + "mean_token_accuracy": 0.27150997519493103, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.683209705352783, + "epoch": 9.317146540610228, + "grad_norm": 1.296875, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.8429, + "mean_token_accuracy": 0.24387009292840958, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.645463323593139, + "epoch": 9.321443919209282, + "grad_norm": 1.3671875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2493225336074829, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.633423852920532, + "epoch": 9.325741297808337, + "grad_norm": 1.6953125, + "learning_rate": 5.589121423602277e-05, + "loss": 4.6914, + "mean_token_accuracy": 0.2628333792090416, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.702880573272705, + "epoch": 9.33003867640739, + "grad_norm": 1.46875, + "learning_rate": 5.581586881970631e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24085617810487747, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.560692501068115, + "epoch": 9.334336055006446, + "grad_norm": 1.390625, + "learning_rate": 5.574100201392522e-05, + "loss": 4.6758, + "mean_token_accuracy": 0.26179105788469315, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.623036813735962, + "epoch": 9.338633433605501, + "grad_norm": 1.40625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.7412, + "mean_token_accuracy": 0.2588634729385376, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.657954597473145, + "epoch": 9.342930812204555, + "grad_norm": 1.4375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.8895, + "mean_token_accuracy": 0.23635072410106658, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.691379356384277, + "epoch": 9.34722819080361, + "grad_norm": 1.3203125, + "learning_rate": 5.551927488935826e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.2456997498869896, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.656087350845337, + "epoch": 9.351525569402664, + "grad_norm": 1.484375, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8121, + "mean_token_accuracy": 0.25415152609348296, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.654774618148804, + "epoch": 9.35582294800172, + "grad_norm": 1.2265625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.25373937338590624, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.641226482391358, + "epoch": 9.360120326600773, + "grad_norm": 1.671875, + "learning_rate": 5.53018610821138e-05, + "loss": 4.7928, + "mean_token_accuracy": 0.25097259134054184, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.687262010574341, + "epoch": 9.364417705199829, + "grad_norm": 1.4765625, + "learning_rate": 5.523034906892728e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.2439215749502182, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.699068069458008, + "epoch": 9.368715083798882, + "grad_norm": 1.4140625, + "learning_rate": 5.515931694481722e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.2473944455385208, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.716992425918579, + "epoch": 9.373012462397938, + "grad_norm": 1.421875, + "learning_rate": 5.508876486488936e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.24376602172851564, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.643907117843628, + "epoch": 9.377309840996991, + "grad_norm": 1.515625, + "learning_rate": 5.501869298320128e-05, + "loss": 4.7983, + "mean_token_accuracy": 0.24763839840888976, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.6545130729675295, + "epoch": 9.381607219596047, + "grad_norm": 1.546875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.7958, + "mean_token_accuracy": 0.2506653919816017, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.657913112640381, + "epoch": 9.3859045981951, + "grad_norm": 1.3203125, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.7589, + "mean_token_accuracy": 0.2580998450517654, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.674734878540039, + "epoch": 9.390201976794156, + "grad_norm": 1.3125, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.8262, + "mean_token_accuracy": 0.24551165699958802, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.629330062866211, + "epoch": 9.39449935539321, + "grad_norm": 1.234375, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.25246907472610475, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.713487863540649, + "epoch": 9.398796733992265, + "grad_norm": 1.3671875, + "learning_rate": 5.467554186695364e-05, + "loss": 4.8508, + "mean_token_accuracy": 0.2398130863904953, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.65391993522644, + "epoch": 9.403094112591319, + "grad_norm": 1.375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24949571192264558, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.5948474407196045, + "epoch": 9.407391491190374, + "grad_norm": 1.5, + "learning_rate": 5.454164808265057e-05, + "loss": 4.7756, + "mean_token_accuracy": 0.25042637884616853, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.596786975860596, + "epoch": 9.411688869789428, + "grad_norm": 1.453125, + "learning_rate": 5.447542320705532e-05, + "loss": 4.6944, + "mean_token_accuracy": 0.26209963411092757, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.683409118652344, + "epoch": 9.415986248388483, + "grad_norm": 1.4921875, + "learning_rate": 5.440967986899289e-05, + "loss": 4.8065, + "mean_token_accuracy": 0.24011071175336837, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.660010576248169, + "epoch": 9.420283626987537, + "grad_norm": 1.4453125, + "learning_rate": 5.434441821202042e-05, + "loss": 4.7322, + "mean_token_accuracy": 0.25771835893392564, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.6490149974823, + "epoch": 9.424581005586592, + "grad_norm": 1.4765625, + "learning_rate": 5.42796383786433e-05, + "loss": 4.7765, + "mean_token_accuracy": 0.24860167354345322, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.646113681793213, + "epoch": 9.428878384185646, + "grad_norm": 1.3359375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.7791, + "mean_token_accuracy": 0.247910475730896, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.649462270736694, + "epoch": 9.433175762784701, + "grad_norm": 1.328125, + "learning_rate": 5.41515247474358e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.2510902941226959, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.700368213653564, + "epoch": 9.437473141383755, + "grad_norm": 1.3203125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.8708, + "mean_token_accuracy": 0.2423779547214508, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.615607881546021, + "epoch": 9.44177051998281, + "grad_norm": 1.4140625, + "learning_rate": 5.402534009436552e-05, + "loss": 4.7574, + "mean_token_accuracy": 0.2512508645653725, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.6874782085418705, + "epoch": 9.446067898581864, + "grad_norm": 1.4609375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8146, + "mean_token_accuracy": 0.24550059139728547, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.6440185546875, + "epoch": 9.45036527718092, + "grad_norm": 1.3984375, + "learning_rate": 5.390108552157935e-05, + "loss": 4.734, + "mean_token_accuracy": 0.25735636949539187, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.4661739087319585, + "eval_loss": 5.882833480834961, + "eval_mean_token_accuracy": 0.18411659976249342, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0463, + "eval_samples_per_second": 1734.317, + "eval_steps_per_second": 216.973, + "step": 11000 + }, + { + "entropy": 5.659858560562133, + "epoch": 9.454662655779973, + "grad_norm": 1.3984375, + "learning_rate": 5.383968235510427e-05, + "loss": 4.8322, + "mean_token_accuracy": 0.2516154408454895, + "num_tokens": 20004050.0, + "step": 11005 + }, + { + "entropy": 5.622915983200073, + "epoch": 9.458960034379029, + "grad_norm": 1.4296875, + "learning_rate": 5.377876211436592e-05, + "loss": 4.7684, + "mean_token_accuracy": 0.2524562880396843, + "num_tokens": 20013480.0, + "step": 11010 + }, + { + "entropy": 5.733402347564697, + "epoch": 9.463257412978084, + "grad_norm": 1.59375, + "learning_rate": 5.371832493238973e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24426155537366867, + "num_tokens": 20022133.0, + "step": 11015 + }, + { + "entropy": 5.587588977813721, + "epoch": 9.467554791577138, + "grad_norm": 1.4375, + "learning_rate": 5.365837094114639e-05, + "loss": 4.737, + "mean_token_accuracy": 0.255278055369854, + "num_tokens": 20031462.0, + "step": 11020 + }, + { + "entropy": 5.685597229003906, + "epoch": 9.471852170176193, + "grad_norm": 1.5, + "learning_rate": 5.3598900271551396e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24156038761138915, + "num_tokens": 20042055.0, + "step": 11025 + }, + { + "entropy": 5.629064464569092, + "epoch": 9.476149548775247, + "grad_norm": 1.2578125, + "learning_rate": 5.353991305346499e-05, + "loss": 4.7797, + "mean_token_accuracy": 0.24861287474632263, + "num_tokens": 20051379.0, + "step": 11030 + }, + { + "entropy": 5.596753263473511, + "epoch": 9.480446927374302, + "grad_norm": 1.4609375, + "learning_rate": 5.348140941569165e-05, + "loss": 4.7122, + "mean_token_accuracy": 0.26016455739736555, + "num_tokens": 20060289.0, + "step": 11035 + }, + { + "entropy": 5.602110958099365, + "epoch": 9.484744305973356, + "grad_norm": 1.40625, + "learning_rate": 5.342338948597989e-05, + "loss": 4.7386, + "mean_token_accuracy": 0.25520058423280717, + "num_tokens": 20070133.0, + "step": 11040 + }, + { + "entropy": 5.652761363983155, + "epoch": 9.489041684572411, + "grad_norm": 1.4609375, + "learning_rate": 5.336585339102209e-05, + "loss": 4.7796, + "mean_token_accuracy": 0.25094655752182005, + "num_tokens": 20078384.0, + "step": 11045 + }, + { + "entropy": 5.54692063331604, + "epoch": 9.493339063171465, + "grad_norm": 1.453125, + "learning_rate": 5.33088012564541e-05, + "loss": 4.7064, + "mean_token_accuracy": 0.2593804582953453, + "num_tokens": 20087116.0, + "step": 11050 + }, + { + "entropy": 5.525764131546021, + "epoch": 9.49763644177052, + "grad_norm": 1.4375, + "learning_rate": 5.3252233206854955e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2625924780964851, + "num_tokens": 20096918.0, + "step": 11055 + }, + { + "entropy": 5.657556390762329, + "epoch": 9.501933820369574, + "grad_norm": 1.421875, + "learning_rate": 5.3196149365746656e-05, + "loss": 4.8704, + "mean_token_accuracy": 0.2475408360362053, + "num_tokens": 20107602.0, + "step": 11060 + }, + { + "entropy": 5.579683017730713, + "epoch": 9.50623119896863, + "grad_norm": 1.3046875, + "learning_rate": 5.31405498555939e-05, + "loss": 4.7345, + "mean_token_accuracy": 0.25721548944711686, + "num_tokens": 20117732.0, + "step": 11065 + }, + { + "entropy": 5.711687660217285, + "epoch": 9.510528577567683, + "grad_norm": 1.328125, + "learning_rate": 5.308543479780384e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.23259128481149674, + "num_tokens": 20127765.0, + "step": 11070 + }, + { + "entropy": 5.6711039543151855, + "epoch": 9.514825956166739, + "grad_norm": 1.4453125, + "learning_rate": 5.303080431272567e-05, + "loss": 4.8563, + "mean_token_accuracy": 0.24667593389749526, + "num_tokens": 20137135.0, + "step": 11075 + }, + { + "entropy": 5.610913515090942, + "epoch": 9.519123334765792, + "grad_norm": 1.5390625, + "learning_rate": 5.297665851965055e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.24854191541671752, + "num_tokens": 20146156.0, + "step": 11080 + }, + { + "entropy": 5.655600214004517, + "epoch": 9.523420713364848, + "grad_norm": 1.6171875, + "learning_rate": 5.292299753681129e-05, + "loss": 4.7903, + "mean_token_accuracy": 0.25051039457321167, + "num_tokens": 20154433.0, + "step": 11085 + }, + { + "entropy": 5.645228624343872, + "epoch": 9.527718091963902, + "grad_norm": 1.3828125, + "learning_rate": 5.286982148138196e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.253564678132534, + "num_tokens": 20164209.0, + "step": 11090 + }, + { + "entropy": 5.649822092056274, + "epoch": 9.532015470562957, + "grad_norm": 1.4375, + "learning_rate": 5.281713046947787e-05, + "loss": 4.7729, + "mean_token_accuracy": 0.24183453619480133, + "num_tokens": 20173116.0, + "step": 11095 + }, + { + "entropy": 5.709951972961425, + "epoch": 9.53631284916201, + "grad_norm": 1.5390625, + "learning_rate": 5.2764924616155116e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24584992378950118, + "num_tokens": 20182933.0, + "step": 11100 + }, + { + "entropy": 5.630789375305175, + "epoch": 9.540610227761066, + "grad_norm": 1.6796875, + "learning_rate": 5.271320403541038e-05, + "loss": 4.74, + "mean_token_accuracy": 0.25479953438043595, + "num_tokens": 20191899.0, + "step": 11105 + }, + { + "entropy": 5.650143051147461, + "epoch": 9.54490760636012, + "grad_norm": 1.4453125, + "learning_rate": 5.266196884018081e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.25023754984140395, + "num_tokens": 20201108.0, + "step": 11110 + }, + { + "entropy": 5.612443971633911, + "epoch": 9.549204984959175, + "grad_norm": 1.4609375, + "learning_rate": 5.2611219142343494e-05, + "loss": 4.7849, + "mean_token_accuracy": 0.2484399139881134, + "num_tokens": 20209137.0, + "step": 11115 + }, + { + "entropy": 5.575851345062256, + "epoch": 9.553502363558229, + "grad_norm": 1.3515625, + "learning_rate": 5.2560955052715574e-05, + "loss": 4.684, + "mean_token_accuracy": 0.25690483301877975, + "num_tokens": 20217879.0, + "step": 11120 + }, + { + "entropy": 5.636340522766114, + "epoch": 9.557799742157284, + "grad_norm": 1.4609375, + "learning_rate": 5.2511176681053704e-05, + "loss": 4.7703, + "mean_token_accuracy": 0.25021136105060576, + "num_tokens": 20226783.0, + "step": 11125 + }, + { + "entropy": 5.640555143356323, + "epoch": 9.562097120756338, + "grad_norm": 1.4375, + "learning_rate": 5.246188413605393e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.2479167178273201, + "num_tokens": 20235008.0, + "step": 11130 + }, + { + "entropy": 5.624492883682251, + "epoch": 9.566394499355393, + "grad_norm": 1.4765625, + "learning_rate": 5.241307752535149e-05, + "loss": 4.6869, + "mean_token_accuracy": 0.2625169694423676, + "num_tokens": 20243157.0, + "step": 11135 + }, + { + "entropy": 5.616971254348755, + "epoch": 9.570691877954447, + "grad_norm": 1.375, + "learning_rate": 5.236475695552052e-05, + "loss": 4.7482, + "mean_token_accuracy": 0.25295512080192567, + "num_tokens": 20251548.0, + "step": 11140 + }, + { + "entropy": 5.573141384124756, + "epoch": 9.574989256553502, + "grad_norm": 1.546875, + "learning_rate": 5.2316922532073796e-05, + "loss": 4.659, + "mean_token_accuracy": 0.26318345218896866, + "num_tokens": 20260954.0, + "step": 11145 + }, + { + "entropy": 5.707438850402832, + "epoch": 9.579286635152556, + "grad_norm": 1.4765625, + "learning_rate": 5.226957435946265e-05, + "loss": 4.8741, + "mean_token_accuracy": 0.23904298692941667, + "num_tokens": 20269976.0, + "step": 11150 + }, + { + "entropy": 5.651593017578125, + "epoch": 9.583584013751612, + "grad_norm": 1.4375, + "learning_rate": 5.2222712541076464e-05, + "loss": 4.8362, + "mean_token_accuracy": 0.2450185090303421, + "num_tokens": 20279824.0, + "step": 11155 + }, + { + "entropy": 5.653690195083618, + "epoch": 9.587881392350667, + "grad_norm": 1.4609375, + "learning_rate": 5.217633717924282e-05, + "loss": 4.7696, + "mean_token_accuracy": 0.26532009840011594, + "num_tokens": 20289284.0, + "step": 11160 + }, + { + "entropy": 5.65428581237793, + "epoch": 9.59217877094972, + "grad_norm": 1.2734375, + "learning_rate": 5.213044837522689e-05, + "loss": 4.721, + "mean_token_accuracy": 0.262369267642498, + "num_tokens": 20297905.0, + "step": 11165 + }, + { + "entropy": 5.611086177825928, + "epoch": 9.596476149548776, + "grad_norm": 1.4609375, + "learning_rate": 5.208504622923154e-05, + "loss": 4.7362, + "mean_token_accuracy": 0.2587092310190201, + "num_tokens": 20307219.0, + "step": 11170 + }, + { + "entropy": 5.623517179489136, + "epoch": 9.60077352814783, + "grad_norm": 1.4921875, + "learning_rate": 5.204013084039687e-05, + "loss": 4.7823, + "mean_token_accuracy": 0.2503692626953125, + "num_tokens": 20316369.0, + "step": 11175 + }, + { + "entropy": 5.622481441497802, + "epoch": 9.605070906746885, + "grad_norm": 1.5390625, + "learning_rate": 5.199570230680017e-05, + "loss": 4.7574, + "mean_token_accuracy": 0.2528963088989258, + "num_tokens": 20325764.0, + "step": 11180 + }, + { + "entropy": 5.697538805007935, + "epoch": 9.609368285345939, + "grad_norm": 1.421875, + "learning_rate": 5.19517607254556e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24330864548683168, + "num_tokens": 20334671.0, + "step": 11185 + }, + { + "entropy": 5.629094791412354, + "epoch": 9.613665663944994, + "grad_norm": 1.46875, + "learning_rate": 5.190830619231397e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24563638269901275, + "num_tokens": 20343585.0, + "step": 11190 + }, + { + "entropy": 5.619398355484009, + "epoch": 9.617963042544048, + "grad_norm": 1.453125, + "learning_rate": 5.186533880226263e-05, + "loss": 4.7431, + "mean_token_accuracy": 0.2571689531207085, + "num_tokens": 20352569.0, + "step": 11195 + }, + { + "entropy": 5.643133020401001, + "epoch": 9.622260421143103, + "grad_norm": 1.5546875, + "learning_rate": 5.1822858649125197e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24488139748573304, + "num_tokens": 20361479.0, + "step": 11200 + }, + { + "entropy": 5.702621603012085, + "epoch": 9.626557799742157, + "grad_norm": 1.546875, + "learning_rate": 5.178086582566134e-05, + "loss": 4.8355, + "mean_token_accuracy": 0.24582064300775527, + "num_tokens": 20370286.0, + "step": 11205 + }, + { + "entropy": 5.618520736694336, + "epoch": 9.630855178341212, + "grad_norm": 1.4453125, + "learning_rate": 5.1739360423566596e-05, + "loss": 4.8148, + "mean_token_accuracy": 0.24465181976556777, + "num_tokens": 20379253.0, + "step": 11210 + }, + { + "entropy": 5.622318935394287, + "epoch": 9.635152556940266, + "grad_norm": 1.453125, + "learning_rate": 5.16983425334722e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.24978899955749512, + "num_tokens": 20387796.0, + "step": 11215 + }, + { + "entropy": 5.629397249221801, + "epoch": 9.639449935539322, + "grad_norm": 1.453125, + "learning_rate": 5.1657812244944796e-05, + "loss": 4.7111, + "mean_token_accuracy": 0.2518982455134392, + "num_tokens": 20396209.0, + "step": 11220 + }, + { + "entropy": 5.693726253509522, + "epoch": 9.643747314138375, + "grad_norm": 1.4765625, + "learning_rate": 5.1617769646486344e-05, + "loss": 4.8492, + "mean_token_accuracy": 0.24990911781787872, + "num_tokens": 20405102.0, + "step": 11225 + }, + { + "entropy": 5.692820119857788, + "epoch": 9.64804469273743, + "grad_norm": 1.3046875, + "learning_rate": 5.157821482553389e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.2370424747467041, + "num_tokens": 20415126.0, + "step": 11230 + }, + { + "entropy": 5.661749172210693, + "epoch": 9.652342071336484, + "grad_norm": 1.4921875, + "learning_rate": 5.153914786845932e-05, + "loss": 4.818, + "mean_token_accuracy": 0.2480069264769554, + "num_tokens": 20424166.0, + "step": 11235 + }, + { + "entropy": 5.575618267059326, + "epoch": 9.65663944993554, + "grad_norm": 1.6875, + "learning_rate": 5.1500568860569285e-05, + "loss": 4.6445, + "mean_token_accuracy": 0.26594655215740204, + "num_tokens": 20431984.0, + "step": 11240 + }, + { + "entropy": 5.574884748458862, + "epoch": 9.660936828534593, + "grad_norm": 1.53125, + "learning_rate": 5.1462477886104904e-05, + "loss": 4.7064, + "mean_token_accuracy": 0.2591560423374176, + "num_tokens": 20440923.0, + "step": 11245 + }, + { + "entropy": 5.624132966995239, + "epoch": 9.665234207133649, + "grad_norm": 1.5859375, + "learning_rate": 5.1424875028241625e-05, + "loss": 4.7367, + "mean_token_accuracy": 0.24782251417636872, + "num_tokens": 20449525.0, + "step": 11250 + }, + { + "entropy": 5.660547685623169, + "epoch": 9.669531585732702, + "grad_norm": 1.3046875, + "learning_rate": 5.138776036908911e-05, + "loss": 4.8112, + "mean_token_accuracy": 0.25246207118034364, + "num_tokens": 20459193.0, + "step": 11255 + }, + { + "entropy": 5.639756917953491, + "epoch": 9.673828964331758, + "grad_norm": 1.6328125, + "learning_rate": 5.135113398969091e-05, + "loss": 4.7594, + "mean_token_accuracy": 0.24905567318201066, + "num_tokens": 20467564.0, + "step": 11260 + }, + { + "entropy": 5.703488731384278, + "epoch": 9.678126342930812, + "grad_norm": 1.421875, + "learning_rate": 5.131499597002437e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2473714679479599, + "num_tokens": 20476573.0, + "step": 11265 + }, + { + "entropy": 5.6513889789581295, + "epoch": 9.682423721529867, + "grad_norm": 1.4296875, + "learning_rate": 5.12793463890005e-05, + "loss": 4.8113, + "mean_token_accuracy": 0.2503967732191086, + "num_tokens": 20486788.0, + "step": 11270 + }, + { + "entropy": 5.6483711242675785, + "epoch": 9.68672110012892, + "grad_norm": 1.3046875, + "learning_rate": 5.124418532446376e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.23826995640993118, + "num_tokens": 20495982.0, + "step": 11275 + }, + { + "entropy": 5.685800075531006, + "epoch": 9.691018478727976, + "grad_norm": 1.390625, + "learning_rate": 5.120951285319187e-05, + "loss": 4.8508, + "mean_token_accuracy": 0.24039490073919295, + "num_tokens": 20504678.0, + "step": 11280 + }, + { + "entropy": 5.6086170196533205, + "epoch": 9.69531585732703, + "grad_norm": 1.53125, + "learning_rate": 5.1175329050895584e-05, + "loss": 4.6919, + "mean_token_accuracy": 0.2570186793804169, + "num_tokens": 20513362.0, + "step": 11285 + }, + { + "entropy": 5.623786163330078, + "epoch": 9.699613235926085, + "grad_norm": 1.4296875, + "learning_rate": 5.114163399221871e-05, + "loss": 4.8276, + "mean_token_accuracy": 0.24475472122430803, + "num_tokens": 20522280.0, + "step": 11290 + }, + { + "entropy": 5.6047193050384525, + "epoch": 9.703910614525139, + "grad_norm": 1.5546875, + "learning_rate": 5.110842775073778e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2570575699210167, + "num_tokens": 20531175.0, + "step": 11295 + }, + { + "entropy": 5.611165571212768, + "epoch": 9.708207993124194, + "grad_norm": 1.375, + "learning_rate": 5.107571039896196e-05, + "loss": 4.8011, + "mean_token_accuracy": 0.24260985106229782, + "num_tokens": 20540592.0, + "step": 11300 + }, + { + "entropy": 5.717087841033935, + "epoch": 9.71250537172325, + "grad_norm": 1.5390625, + "learning_rate": 5.1043482008332864e-05, + "loss": 4.8867, + "mean_token_accuracy": 0.2418668359518051, + "num_tokens": 20549963.0, + "step": 11305 + }, + { + "entropy": 5.621548080444336, + "epoch": 9.716802750322303, + "grad_norm": 1.34375, + "learning_rate": 5.1011742649224394e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.25661737024784087, + "num_tokens": 20558928.0, + "step": 11310 + }, + { + "entropy": 5.607663822174072, + "epoch": 9.721100128921359, + "grad_norm": 1.625, + "learning_rate": 5.098049239094267e-05, + "loss": 4.682, + "mean_token_accuracy": 0.25437158197164533, + "num_tokens": 20566483.0, + "step": 11315 + }, + { + "entropy": 5.666921663284302, + "epoch": 9.725397507520412, + "grad_norm": 1.4765625, + "learning_rate": 5.094973130172573e-05, + "loss": 4.7839, + "mean_token_accuracy": 0.24927501380443573, + "num_tokens": 20575349.0, + "step": 11320 + }, + { + "entropy": 5.682584810256958, + "epoch": 9.729694886119468, + "grad_norm": 1.5234375, + "learning_rate": 5.09194594487435e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.2473174586892128, + "num_tokens": 20584235.0, + "step": 11325 + }, + { + "entropy": 5.583393573760986, + "epoch": 9.733992264718522, + "grad_norm": 1.5546875, + "learning_rate": 5.088967689809763e-05, + "loss": 4.7248, + "mean_token_accuracy": 0.25419015288352964, + "num_tokens": 20593705.0, + "step": 11330 + }, + { + "entropy": 5.6596780776977536, + "epoch": 9.738289643317577, + "grad_norm": 1.234375, + "learning_rate": 5.086038371482128e-05, + "loss": 4.825, + "mean_token_accuracy": 0.25288843363523483, + "num_tokens": 20603886.0, + "step": 11335 + }, + { + "entropy": 5.491651773452759, + "epoch": 9.74258702191663, + "grad_norm": 1.390625, + "learning_rate": 5.0831579962879074e-05, + "loss": 4.6572, + "mean_token_accuracy": 0.26912386566400526, + "num_tokens": 20613181.0, + "step": 11340 + }, + { + "entropy": 5.649355173110962, + "epoch": 9.746884400515686, + "grad_norm": 1.5, + "learning_rate": 5.080326570516686e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.2511239215731621, + "num_tokens": 20620938.0, + "step": 11345 + }, + { + "entropy": 5.694200468063355, + "epoch": 9.75118177911474, + "grad_norm": 1.359375, + "learning_rate": 5.077544100351172e-05, + "loss": 4.8779, + "mean_token_accuracy": 0.23636120855808257, + "num_tokens": 20630992.0, + "step": 11350 + }, + { + "entropy": 5.713483667373657, + "epoch": 9.755479157713795, + "grad_norm": 1.53125, + "learning_rate": 5.0748105918671616e-05, + "loss": 4.8927, + "mean_token_accuracy": 0.2489745020866394, + "num_tokens": 20640543.0, + "step": 11355 + }, + { + "entropy": 5.648331212997436, + "epoch": 9.759776536312849, + "grad_norm": 1.3984375, + "learning_rate": 5.072126051033551e-05, + "loss": 4.7998, + "mean_token_accuracy": 0.24586018174886703, + "num_tokens": 20649814.0, + "step": 11360 + }, + { + "entropy": 5.663990640640259, + "epoch": 9.764073914911904, + "grad_norm": 1.4296875, + "learning_rate": 5.069490483712298e-05, + "loss": 4.8085, + "mean_token_accuracy": 0.2565313339233398, + "num_tokens": 20658215.0, + "step": 11365 + }, + { + "entropy": 5.66822190284729, + "epoch": 9.768371293510958, + "grad_norm": 1.3828125, + "learning_rate": 5.066903895658433e-05, + "loss": 4.7866, + "mean_token_accuracy": 0.2542292311787605, + "num_tokens": 20667412.0, + "step": 11370 + }, + { + "entropy": 5.650898599624634, + "epoch": 9.772668672110013, + "grad_norm": 1.5078125, + "learning_rate": 5.064366292520028e-05, + "loss": 4.8, + "mean_token_accuracy": 0.24360747188329696, + "num_tokens": 20676366.0, + "step": 11375 + }, + { + "entropy": 5.709493207931518, + "epoch": 9.776966050709067, + "grad_norm": 1.2890625, + "learning_rate": 5.061877679838192e-05, + "loss": 4.9026, + "mean_token_accuracy": 0.23420629501342774, + "num_tokens": 20686872.0, + "step": 11380 + }, + { + "entropy": 5.6564898014068605, + "epoch": 9.781263429308122, + "grad_norm": 1.515625, + "learning_rate": 5.059438063047066e-05, + "loss": 4.7342, + "mean_token_accuracy": 0.2545543238520622, + "num_tokens": 20695162.0, + "step": 11385 + }, + { + "entropy": 5.647177982330322, + "epoch": 9.785560807907176, + "grad_norm": 1.359375, + "learning_rate": 5.057047447473796e-05, + "loss": 4.7741, + "mean_token_accuracy": 0.24988951534032822, + "num_tokens": 20703897.0, + "step": 11390 + }, + { + "entropy": 5.573124599456787, + "epoch": 9.789858186506232, + "grad_norm": 1.390625, + "learning_rate": 5.054705838338529e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.25603497624397276, + "num_tokens": 20712115.0, + "step": 11395 + }, + { + "entropy": 5.58337926864624, + "epoch": 9.794155565105285, + "grad_norm": 1.3984375, + "learning_rate": 5.052413240754404e-05, + "loss": 4.733, + "mean_token_accuracy": 0.25425832718610764, + "num_tokens": 20721073.0, + "step": 11400 + }, + { + "entropy": 5.646140146255493, + "epoch": 9.79845294370434, + "grad_norm": 1.2890625, + "learning_rate": 5.0501696597275376e-05, + "loss": 4.7743, + "mean_token_accuracy": 0.24980906248092652, + "num_tokens": 20731370.0, + "step": 11405 + }, + { + "entropy": 5.649660873413086, + "epoch": 9.802750322303394, + "grad_norm": 1.4765625, + "learning_rate": 5.047975100157018e-05, + "loss": 4.8259, + "mean_token_accuracy": 0.24879364669322968, + "num_tokens": 20740744.0, + "step": 11410 + }, + { + "entropy": 5.630423450469971, + "epoch": 9.80704770090245, + "grad_norm": 1.375, + "learning_rate": 5.045829566834879e-05, + "loss": 4.7828, + "mean_token_accuracy": 0.2567125052213669, + "num_tokens": 20749838.0, + "step": 11415 + }, + { + "entropy": 5.642637586593628, + "epoch": 9.811345079501503, + "grad_norm": 1.3046875, + "learning_rate": 5.043733064446113e-05, + "loss": 4.7148, + "mean_token_accuracy": 0.26176913231611254, + "num_tokens": 20759689.0, + "step": 11420 + }, + { + "entropy": 5.637742042541504, + "epoch": 9.815642458100559, + "grad_norm": 1.546875, + "learning_rate": 5.041685597568641e-05, + "loss": 4.7516, + "mean_token_accuracy": 0.2548555374145508, + "num_tokens": 20769234.0, + "step": 11425 + }, + { + "entropy": 5.6450474739074705, + "epoch": 9.819939836699612, + "grad_norm": 1.390625, + "learning_rate": 5.039687170673315e-05, + "loss": 4.8278, + "mean_token_accuracy": 0.25093297064304354, + "num_tokens": 20778794.0, + "step": 11430 + }, + { + "entropy": 5.656610298156738, + "epoch": 9.824237215298668, + "grad_norm": 1.4296875, + "learning_rate": 5.037737788123895e-05, + "loss": 4.7697, + "mean_token_accuracy": 0.24846816807985306, + "num_tokens": 20788327.0, + "step": 11435 + }, + { + "entropy": 5.673328161239624, + "epoch": 9.828534593897722, + "grad_norm": 1.375, + "learning_rate": 5.03583745417706e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2541452869772911, + "num_tokens": 20797161.0, + "step": 11440 + }, + { + "entropy": 5.717051362991333, + "epoch": 9.832831972496777, + "grad_norm": 1.375, + "learning_rate": 5.033986172982375e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24515803754329682, + "num_tokens": 20806264.0, + "step": 11445 + }, + { + "entropy": 5.6528173923492435, + "epoch": 9.837129351095832, + "grad_norm": 1.4375, + "learning_rate": 5.0321839485823014e-05, + "loss": 4.829, + "mean_token_accuracy": 0.2445735216140747, + "num_tokens": 20815569.0, + "step": 11450 + }, + { + "entropy": 5.713804626464844, + "epoch": 9.841426729694886, + "grad_norm": 1.46875, + "learning_rate": 5.030430784912177e-05, + "loss": 4.8996, + "mean_token_accuracy": 0.23994259387254716, + "num_tokens": 20825234.0, + "step": 11455 + }, + { + "entropy": 5.5915292263031, + "epoch": 9.845724108293942, + "grad_norm": 1.4609375, + "learning_rate": 5.0287266858002054e-05, + "loss": 4.7611, + "mean_token_accuracy": 0.2517869219183922, + "num_tokens": 20834601.0, + "step": 11460 + }, + { + "entropy": 5.666462707519531, + "epoch": 9.850021486892995, + "grad_norm": 1.265625, + "learning_rate": 5.027071654967465e-05, + "loss": 4.7808, + "mean_token_accuracy": 0.25927551090717316, + "num_tokens": 20843686.0, + "step": 11465 + }, + { + "entropy": 5.651755857467651, + "epoch": 9.85431886549205, + "grad_norm": 1.4453125, + "learning_rate": 5.025465696027875e-05, + "loss": 4.7879, + "mean_token_accuracy": 0.25643584728240965, + "num_tokens": 20852009.0, + "step": 11470 + }, + { + "entropy": 5.645906925201416, + "epoch": 9.858616244091104, + "grad_norm": 1.4296875, + "learning_rate": 5.023908812488211e-05, + "loss": 4.7539, + "mean_token_accuracy": 0.25380629152059553, + "num_tokens": 20861241.0, + "step": 11475 + }, + { + "entropy": 5.654606008529663, + "epoch": 9.86291362269016, + "grad_norm": 1.3046875, + "learning_rate": 5.022401007748087e-05, + "loss": 4.8146, + "mean_token_accuracy": 0.24114521145820617, + "num_tokens": 20869774.0, + "step": 11480 + }, + { + "entropy": 5.640413856506347, + "epoch": 9.867211001289213, + "grad_norm": 1.4765625, + "learning_rate": 5.0209422850999414e-05, + "loss": 4.8155, + "mean_token_accuracy": 0.24895236790180206, + "num_tokens": 20878844.0, + "step": 11485 + }, + { + "entropy": 5.6264293670654295, + "epoch": 9.871508379888269, + "grad_norm": 1.3671875, + "learning_rate": 5.019532647729046e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.24811711311340331, + "num_tokens": 20888054.0, + "step": 11490 + }, + { + "entropy": 5.655476331710815, + "epoch": 9.875805758487322, + "grad_norm": 1.234375, + "learning_rate": 5.0181720987134815e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.24855260103940963, + "num_tokens": 20897752.0, + "step": 11495 + }, + { + "entropy": 5.549111795425415, + "epoch": 9.880103137086378, + "grad_norm": 1.5625, + "learning_rate": 5.016860641024143e-05, + "loss": 4.6743, + "mean_token_accuracy": 0.26256232261657714, + "num_tokens": 20906186.0, + "step": 11500 + }, + { + "epoch": 9.880103137086378, + "eval_entropy": 5.467424088233226, + "eval_loss": 5.883642196655273, + "eval_mean_token_accuracy": 0.18433019540666998, + "eval_num_tokens": 20906186.0, + "eval_runtime": 2.0592, + "eval_samples_per_second": 1723.464, + "eval_steps_per_second": 215.615, + "step": 11500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4703050292981760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11500/training_args.bin b/checkpoint-11500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-11500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-11630/added_tokens.json b/checkpoint-11630/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-11630/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-11630/config.json b/checkpoint-11630/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-11630/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-11630/generation_config.json b/checkpoint-11630/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-11630/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-11630/model.safetensors b/checkpoint-11630/model.safetensors new file mode 100644 index 0000000..a8d14ab --- /dev/null +++ b/checkpoint-11630/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23a608c6397e5d8f18dce10b6426a4534d9de4d0928714a542f4a3f27462055c +size 78179408 diff --git a/checkpoint-11630/rng_state.pth b/checkpoint-11630/rng_state.pth new file mode 100644 index 0000000..3439220 --- /dev/null +++ b/checkpoint-11630/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:807f45588ec412257d63aab42cc1c2684cfd93d63c1a3b4612a169b217f168e0 +size 14645 diff --git a/checkpoint-11630/special_tokens_map.json b/checkpoint-11630/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-11630/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-11630/spiece.model b/checkpoint-11630/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-11630/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-11630/tokenizer_config.json b/checkpoint-11630/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-11630/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-11630/trainer_state.json b/checkpoint-11630/trainer_state.json new file mode 100644 index 0000000..b76f686 --- /dev/null +++ b/checkpoint-11630/trainer_state.json @@ -0,0 +1,23547 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 9.991834980661796, + "eval_steps": 500, + "global_step": 11630, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + }, + { + "entropy": 5.707862997055054, + "epoch": 8.165878813923507, + "grad_norm": 1.5, + "learning_rate": 9.297117626563687e-05, + "loss": 4.881, + "mean_token_accuracy": 0.24201221615076066, + "num_tokens": 17279744.0, + "step": 9505 + }, + { + "entropy": 5.6367637634277346, + "epoch": 8.170176192522561, + "grad_norm": 1.359375, + "learning_rate": 9.27759466130818e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24783320277929305, + "num_tokens": 17289107.0, + "step": 9510 + }, + { + "entropy": 5.614573669433594, + "epoch": 8.174473571121617, + "grad_norm": 1.2734375, + "learning_rate": 9.25811148650251e-05, + "loss": 4.7014, + "mean_token_accuracy": 0.25507569015026094, + "num_tokens": 17298385.0, + "step": 9515 + }, + { + "entropy": 5.674180555343628, + "epoch": 8.17877094972067, + "grad_norm": 1.3671875, + "learning_rate": 9.238668144690133e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.2445373848080635, + "num_tokens": 17307759.0, + "step": 9520 + }, + { + "entropy": 5.619296503067017, + "epoch": 8.183068328319726, + "grad_norm": 1.3125, + "learning_rate": 9.219264678327527e-05, + "loss": 4.7775, + "mean_token_accuracy": 0.25314409881830213, + "num_tokens": 17317135.0, + "step": 9525 + }, + { + "entropy": 5.620535802841187, + "epoch": 8.18736570691878, + "grad_norm": 1.390625, + "learning_rate": 9.199901129784121e-05, + "loss": 4.7845, + "mean_token_accuracy": 0.24970700591802597, + "num_tokens": 17326950.0, + "step": 9530 + }, + { + "entropy": 5.7192747592926025, + "epoch": 8.191663085517835, + "grad_norm": 1.28125, + "learning_rate": 9.180577541342164e-05, + "loss": 4.8815, + "mean_token_accuracy": 0.24280520528554916, + "num_tokens": 17335873.0, + "step": 9535 + }, + { + "entropy": 5.642719173431397, + "epoch": 8.195960464116888, + "grad_norm": 1.4375, + "learning_rate": 9.161293955196648e-05, + "loss": 4.7757, + "mean_token_accuracy": 0.25748146921396253, + "num_tokens": 17344659.0, + "step": 9540 + }, + { + "entropy": 5.707903146743774, + "epoch": 8.200257842715944, + "grad_norm": 1.390625, + "learning_rate": 9.142050413455214e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.23902178555727005, + "num_tokens": 17353274.0, + "step": 9545 + }, + { + "entropy": 5.672132682800293, + "epoch": 8.204555221314997, + "grad_norm": 1.3046875, + "learning_rate": 9.12284695813807e-05, + "loss": 4.8439, + "mean_token_accuracy": 0.25198720693588256, + "num_tokens": 17362212.0, + "step": 9550 + }, + { + "entropy": 5.658090209960937, + "epoch": 8.208852599914053, + "grad_norm": 1.4609375, + "learning_rate": 9.103683631177878e-05, + "loss": 4.778, + "mean_token_accuracy": 0.2557189479470253, + "num_tokens": 17370567.0, + "step": 9555 + }, + { + "entropy": 5.621751546859741, + "epoch": 8.213149978513107, + "grad_norm": 1.6796875, + "learning_rate": 9.084560474419701e-05, + "loss": 4.7835, + "mean_token_accuracy": 0.25118696242570876, + "num_tokens": 17378521.0, + "step": 9560 + }, + { + "entropy": 5.696748685836792, + "epoch": 8.217447357112162, + "grad_norm": 1.484375, + "learning_rate": 9.065477529620852e-05, + "loss": 4.8066, + "mean_token_accuracy": 0.2443075641989708, + "num_tokens": 17386988.0, + "step": 9565 + }, + { + "entropy": 5.665190410614014, + "epoch": 8.221744735711216, + "grad_norm": 1.515625, + "learning_rate": 9.046434838450868e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.2463520273566246, + "num_tokens": 17396317.0, + "step": 9570 + }, + { + "entropy": 5.7112932205200195, + "epoch": 8.226042114310271, + "grad_norm": 1.484375, + "learning_rate": 9.027432442491369e-05, + "loss": 4.9087, + "mean_token_accuracy": 0.2336752951145172, + "num_tokens": 17405768.0, + "step": 9575 + }, + { + "entropy": 5.691789293289185, + "epoch": 8.230339492909325, + "grad_norm": 1.484375, + "learning_rate": 9.008470383235991e-05, + "loss": 4.9032, + "mean_token_accuracy": 0.24061028361320497, + "num_tokens": 17416098.0, + "step": 9580 + }, + { + "entropy": 5.657401275634766, + "epoch": 8.23463687150838, + "grad_norm": 1.5078125, + "learning_rate": 8.989548702090295e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.2478136107325554, + "num_tokens": 17426091.0, + "step": 9585 + }, + { + "entropy": 5.613147830963134, + "epoch": 8.238934250107434, + "grad_norm": 1.4609375, + "learning_rate": 8.970667440371676e-05, + "loss": 4.7774, + "mean_token_accuracy": 0.2528875932097435, + "num_tokens": 17434956.0, + "step": 9590 + }, + { + "entropy": 5.673092412948608, + "epoch": 8.24323162870649, + "grad_norm": 1.34375, + "learning_rate": 8.951826639309257e-05, + "loss": 4.8428, + "mean_token_accuracy": 0.2408193603157997, + "num_tokens": 17443980.0, + "step": 9595 + }, + { + "entropy": 5.613753366470337, + "epoch": 8.247529007305543, + "grad_norm": 1.484375, + "learning_rate": 8.933026340043811e-05, + "loss": 4.7847, + "mean_token_accuracy": 0.24801580756902694, + "num_tokens": 17452982.0, + "step": 9600 + }, + { + "entropy": 5.626958703994751, + "epoch": 8.251826385904598, + "grad_norm": 1.4765625, + "learning_rate": 8.914266583627684e-05, + "loss": 4.7602, + "mean_token_accuracy": 0.25679432451725004, + "num_tokens": 17461946.0, + "step": 9605 + }, + { + "entropy": 5.705102348327637, + "epoch": 8.256123764503652, + "grad_norm": 1.5859375, + "learning_rate": 8.89554741102469e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2392795503139496, + "num_tokens": 17470125.0, + "step": 9610 + }, + { + "entropy": 5.625812101364136, + "epoch": 8.260421143102707, + "grad_norm": 1.4140625, + "learning_rate": 8.876868863110013e-05, + "loss": 4.8448, + "mean_token_accuracy": 0.24406588524580003, + "num_tokens": 17479536.0, + "step": 9615 + }, + { + "entropy": 5.704039239883423, + "epoch": 8.264718521701761, + "grad_norm": 1.359375, + "learning_rate": 8.858230980670134e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.2442236140370369, + "num_tokens": 17488709.0, + "step": 9620 + }, + { + "entropy": 5.685574102401733, + "epoch": 8.269015900300817, + "grad_norm": 1.3203125, + "learning_rate": 8.839633804402747e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24362473785877228, + "num_tokens": 17498196.0, + "step": 9625 + }, + { + "entropy": 5.6750462532043455, + "epoch": 8.27331327889987, + "grad_norm": 1.5234375, + "learning_rate": 8.821077374916647e-05, + "loss": 4.7961, + "mean_token_accuracy": 0.25050569921731947, + "num_tokens": 17507374.0, + "step": 9630 + }, + { + "entropy": 5.600301933288574, + "epoch": 8.277610657498926, + "grad_norm": 1.46875, + "learning_rate": 8.802561732731654e-05, + "loss": 4.7754, + "mean_token_accuracy": 0.2526980236172676, + "num_tokens": 17516163.0, + "step": 9635 + }, + { + "entropy": 5.719686460494995, + "epoch": 8.281908036097981, + "grad_norm": 1.3125, + "learning_rate": 8.784086918278534e-05, + "loss": 4.8649, + "mean_token_accuracy": 0.2339397519826889, + "num_tokens": 17525567.0, + "step": 9640 + }, + { + "entropy": 5.607286500930786, + "epoch": 8.286205414697035, + "grad_norm": 1.359375, + "learning_rate": 8.765652971898908e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.25611190050840377, + "num_tokens": 17534433.0, + "step": 9645 + }, + { + "entropy": 5.677676486968994, + "epoch": 8.29050279329609, + "grad_norm": 1.5390625, + "learning_rate": 8.747259933845134e-05, + "loss": 4.8617, + "mean_token_accuracy": 0.25352744907140734, + "num_tokens": 17542981.0, + "step": 9650 + }, + { + "entropy": 5.707070398330688, + "epoch": 8.294800171895144, + "grad_norm": 1.328125, + "learning_rate": 8.728907844280254e-05, + "loss": 4.8851, + "mean_token_accuracy": 0.23950794637203215, + "num_tokens": 17552425.0, + "step": 9655 + }, + { + "entropy": 5.6442076683044435, + "epoch": 8.2990975504942, + "grad_norm": 1.515625, + "learning_rate": 8.710596743277901e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24814968705177307, + "num_tokens": 17560954.0, + "step": 9660 + }, + { + "entropy": 5.645054149627685, + "epoch": 8.303394929093253, + "grad_norm": 1.4609375, + "learning_rate": 8.692326670822207e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2519303172826767, + "num_tokens": 17569769.0, + "step": 9665 + }, + { + "entropy": 5.663473224639892, + "epoch": 8.307692307692308, + "grad_norm": 1.3984375, + "learning_rate": 8.6740976668077e-05, + "loss": 4.7768, + "mean_token_accuracy": 0.25253538936376574, + "num_tokens": 17578875.0, + "step": 9670 + }, + { + "entropy": 5.601699924468994, + "epoch": 8.311989686291362, + "grad_norm": 1.6015625, + "learning_rate": 8.655909771039239e-05, + "loss": 4.7722, + "mean_token_accuracy": 0.24630842208862305, + "num_tokens": 17587556.0, + "step": 9675 + }, + { + "entropy": 5.668028783798218, + "epoch": 8.316287064890417, + "grad_norm": 1.6640625, + "learning_rate": 8.637763023231922e-05, + "loss": 4.8186, + "mean_token_accuracy": 0.2444746106863022, + "num_tokens": 17595077.0, + "step": 9680 + }, + { + "entropy": 5.5484637260437015, + "epoch": 8.320584443489471, + "grad_norm": 1.46875, + "learning_rate": 8.619657463010987e-05, + "loss": 4.6988, + "mean_token_accuracy": 0.260918502509594, + "num_tokens": 17603864.0, + "step": 9685 + }, + { + "entropy": 5.722867631912232, + "epoch": 8.324881822088527, + "grad_norm": 1.4921875, + "learning_rate": 8.60159312991175e-05, + "loss": 4.8931, + "mean_token_accuracy": 0.241627100110054, + "num_tokens": 17613570.0, + "step": 9690 + }, + { + "entropy": 5.686518335342408, + "epoch": 8.32917920068758, + "grad_norm": 1.34375, + "learning_rate": 8.583570063379487e-05, + "loss": 4.8181, + "mean_token_accuracy": 0.24606943130493164, + "num_tokens": 17622352.0, + "step": 9695 + }, + { + "entropy": 5.644981908798218, + "epoch": 8.333476579286636, + "grad_norm": 1.484375, + "learning_rate": 8.565588302769374e-05, + "loss": 4.7561, + "mean_token_accuracy": 0.24853309392929077, + "num_tokens": 17631556.0, + "step": 9700 + }, + { + "entropy": 5.598904609680176, + "epoch": 8.33777395788569, + "grad_norm": 1.421875, + "learning_rate": 8.54764788734639e-05, + "loss": 4.785, + "mean_token_accuracy": 0.2558070823550224, + "num_tokens": 17641182.0, + "step": 9705 + }, + { + "entropy": 5.706678056716919, + "epoch": 8.342071336484745, + "grad_norm": 1.390625, + "learning_rate": 8.529748856285228e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.24797595292329788, + "num_tokens": 17650842.0, + "step": 9710 + }, + { + "entropy": 5.658598756790161, + "epoch": 8.346368715083798, + "grad_norm": 1.4375, + "learning_rate": 8.511891248670217e-05, + "loss": 4.782, + "mean_token_accuracy": 0.2595686510205269, + "num_tokens": 17659963.0, + "step": 9715 + }, + { + "entropy": 5.688131809234619, + "epoch": 8.350666093682854, + "grad_norm": 1.5625, + "learning_rate": 8.494075103495245e-05, + "loss": 4.8469, + "mean_token_accuracy": 0.24513275921344757, + "num_tokens": 17668637.0, + "step": 9720 + }, + { + "entropy": 5.676475381851196, + "epoch": 8.354963472281907, + "grad_norm": 1.390625, + "learning_rate": 8.476300459663643e-05, + "loss": 4.8216, + "mean_token_accuracy": 0.24088364839553833, + "num_tokens": 17678212.0, + "step": 9725 + }, + { + "entropy": 5.665163183212281, + "epoch": 8.359260850880963, + "grad_norm": 1.3515625, + "learning_rate": 8.458567355988123e-05, + "loss": 4.891, + "mean_token_accuracy": 0.23809681534767152, + "num_tokens": 17686766.0, + "step": 9730 + }, + { + "entropy": 5.628652429580688, + "epoch": 8.363558229480017, + "grad_norm": 1.234375, + "learning_rate": 8.440875831190704e-05, + "loss": 4.8108, + "mean_token_accuracy": 0.243441666662693, + "num_tokens": 17696846.0, + "step": 9735 + }, + { + "entropy": 5.656926536560059, + "epoch": 8.367855608079072, + "grad_norm": 1.3359375, + "learning_rate": 8.423225923902608e-05, + "loss": 4.7911, + "mean_token_accuracy": 0.25119892954826356, + "num_tokens": 17705846.0, + "step": 9740 + }, + { + "entropy": 5.626911640167236, + "epoch": 8.372152986678126, + "grad_norm": 1.4765625, + "learning_rate": 8.405617672664175e-05, + "loss": 4.7294, + "mean_token_accuracy": 0.26259505450725557, + "num_tokens": 17714255.0, + "step": 9745 + }, + { + "entropy": 5.725198030471802, + "epoch": 8.376450365277181, + "grad_norm": 1.3359375, + "learning_rate": 8.388051115924781e-05, + "loss": 4.8935, + "mean_token_accuracy": 0.2378841072320938, + "num_tokens": 17724246.0, + "step": 9750 + }, + { + "entropy": 5.666871118545532, + "epoch": 8.380747743876235, + "grad_norm": 1.4296875, + "learning_rate": 8.370526292042774e-05, + "loss": 4.7505, + "mean_token_accuracy": 0.2538667440414429, + "num_tokens": 17733081.0, + "step": 9755 + }, + { + "entropy": 5.587338781356811, + "epoch": 8.38504512247529, + "grad_norm": 1.671875, + "learning_rate": 8.353043239285357e-05, + "loss": 4.7737, + "mean_token_accuracy": 0.2544986054301262, + "num_tokens": 17741220.0, + "step": 9760 + }, + { + "entropy": 5.640384817123413, + "epoch": 8.389342501074344, + "grad_norm": 1.5546875, + "learning_rate": 8.335601995828534e-05, + "loss": 4.8104, + "mean_token_accuracy": 0.242693130671978, + "num_tokens": 17750057.0, + "step": 9765 + }, + { + "entropy": 5.6606762409210205, + "epoch": 8.3936398796734, + "grad_norm": 1.3828125, + "learning_rate": 8.318202599757008e-05, + "loss": 4.8345, + "mean_token_accuracy": 0.24492816925048827, + "num_tokens": 17759016.0, + "step": 9770 + }, + { + "entropy": 5.606284189224243, + "epoch": 8.397937258272453, + "grad_norm": 1.5078125, + "learning_rate": 8.30084508906411e-05, + "loss": 4.7323, + "mean_token_accuracy": 0.2531019449234009, + "num_tokens": 17767170.0, + "step": 9775 + }, + { + "entropy": 5.618020248413086, + "epoch": 8.402234636871508, + "grad_norm": 1.5078125, + "learning_rate": 8.283529501651698e-05, + "loss": 4.8268, + "mean_token_accuracy": 0.24008245319128035, + "num_tokens": 17776508.0, + "step": 9780 + }, + { + "entropy": 5.642845964431762, + "epoch": 8.406532015470564, + "grad_norm": 1.3671875, + "learning_rate": 8.266255875330095e-05, + "loss": 4.7733, + "mean_token_accuracy": 0.25374836176633836, + "num_tokens": 17785494.0, + "step": 9785 + }, + { + "entropy": 5.627595281600952, + "epoch": 8.410829394069617, + "grad_norm": 1.4921875, + "learning_rate": 8.249024247817998e-05, + "loss": 4.8114, + "mean_token_accuracy": 0.24691130816936493, + "num_tokens": 17795158.0, + "step": 9790 + }, + { + "entropy": 5.655184364318847, + "epoch": 8.415126772668673, + "grad_norm": 1.2734375, + "learning_rate": 8.231834656742402e-05, + "loss": 4.8303, + "mean_token_accuracy": 0.24660495668649673, + "num_tokens": 17805130.0, + "step": 9795 + }, + { + "entropy": 5.6911468505859375, + "epoch": 8.419424151267727, + "grad_norm": 1.4921875, + "learning_rate": 8.214687139638494e-05, + "loss": 4.833, + "mean_token_accuracy": 0.25070433020591737, + "num_tokens": 17813775.0, + "step": 9800 + }, + { + "entropy": 5.6668381690979, + "epoch": 8.423721529866782, + "grad_norm": 1.5625, + "learning_rate": 8.197581733949597e-05, + "loss": 4.7642, + "mean_token_accuracy": 0.2571685716509819, + "num_tokens": 17822599.0, + "step": 9805 + }, + { + "entropy": 5.67210898399353, + "epoch": 8.428018908465836, + "grad_norm": 1.5703125, + "learning_rate": 8.180518477027083e-05, + "loss": 4.7963, + "mean_token_accuracy": 0.2531482130289078, + "num_tokens": 17830742.0, + "step": 9810 + }, + { + "entropy": 5.551906299591065, + "epoch": 8.432316287064891, + "grad_norm": 1.3828125, + "learning_rate": 8.163497406130287e-05, + "loss": 4.7097, + "mean_token_accuracy": 0.2613152891397476, + "num_tokens": 17840101.0, + "step": 9815 + }, + { + "entropy": 5.731686592102051, + "epoch": 8.436613665663945, + "grad_norm": 1.3828125, + "learning_rate": 8.146518558426426e-05, + "loss": 4.9128, + "mean_token_accuracy": 0.23491355329751967, + "num_tokens": 17850464.0, + "step": 9820 + }, + { + "entropy": 5.651397562026977, + "epoch": 8.440911044263, + "grad_norm": 1.484375, + "learning_rate": 8.129581970990507e-05, + "loss": 4.7678, + "mean_token_accuracy": 0.2589532405138016, + "num_tokens": 17858792.0, + "step": 9825 + }, + { + "entropy": 5.655478382110596, + "epoch": 8.445208422862054, + "grad_norm": 1.546875, + "learning_rate": 8.11268768080528e-05, + "loss": 4.7926, + "mean_token_accuracy": 0.24893169701099396, + "num_tokens": 17867225.0, + "step": 9830 + }, + { + "entropy": 5.679694795608521, + "epoch": 8.44950580146111, + "grad_norm": 1.5859375, + "learning_rate": 8.09583572476111e-05, + "loss": 4.8898, + "mean_token_accuracy": 0.24183138757944106, + "num_tokens": 17876423.0, + "step": 9835 + }, + { + "entropy": 5.670652627944946, + "epoch": 8.453803180060163, + "grad_norm": 1.5859375, + "learning_rate": 8.079026139655946e-05, + "loss": 4.8412, + "mean_token_accuracy": 0.24176028072834016, + "num_tokens": 17886847.0, + "step": 9840 + }, + { + "entropy": 5.590162706375122, + "epoch": 8.458100558659218, + "grad_norm": 1.4296875, + "learning_rate": 8.062258962195192e-05, + "loss": 4.7299, + "mean_token_accuracy": 0.2560922592878342, + "num_tokens": 17897395.0, + "step": 9845 + }, + { + "entropy": 5.63255124092102, + "epoch": 8.462397937258272, + "grad_norm": 1.5859375, + "learning_rate": 8.04553422899167e-05, + "loss": 4.826, + "mean_token_accuracy": 0.24348948746919633, + "num_tokens": 17906190.0, + "step": 9850 + }, + { + "entropy": 5.6421679019927975, + "epoch": 8.466695315857327, + "grad_norm": 1.3515625, + "learning_rate": 8.028851976565508e-05, + "loss": 4.872, + "mean_token_accuracy": 0.24232618063688277, + "num_tokens": 17916056.0, + "step": 9855 + }, + { + "entropy": 5.640596628189087, + "epoch": 8.470992694456381, + "grad_norm": 1.4140625, + "learning_rate": 8.01221224134408e-05, + "loss": 4.767, + "mean_token_accuracy": 0.2555935025215149, + "num_tokens": 17925790.0, + "step": 9860 + }, + { + "entropy": 5.6605424880981445, + "epoch": 8.475290073055437, + "grad_norm": 1.4765625, + "learning_rate": 7.995615059661907e-05, + "loss": 4.8383, + "mean_token_accuracy": 0.24309351146221161, + "num_tokens": 17935007.0, + "step": 9865 + }, + { + "entropy": 5.669471883773804, + "epoch": 8.47958745165449, + "grad_norm": 1.4609375, + "learning_rate": 7.979060467760616e-05, + "loss": 4.824, + "mean_token_accuracy": 0.24673386365175248, + "num_tokens": 17943363.0, + "step": 9870 + }, + { + "entropy": 5.629602289199829, + "epoch": 8.483884830253546, + "grad_norm": 1.5390625, + "learning_rate": 7.962548501788811e-05, + "loss": 4.7397, + "mean_token_accuracy": 0.2527197152376175, + "num_tokens": 17951667.0, + "step": 9875 + }, + { + "entropy": 5.647467613220215, + "epoch": 8.4881822088526, + "grad_norm": 1.484375, + "learning_rate": 7.946079197802028e-05, + "loss": 4.827, + "mean_token_accuracy": 0.23749534040689468, + "num_tokens": 17960920.0, + "step": 9880 + }, + { + "entropy": 5.648807525634766, + "epoch": 8.492479587451655, + "grad_norm": 1.609375, + "learning_rate": 7.929652591762636e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24475187957286834, + "num_tokens": 17969462.0, + "step": 9885 + }, + { + "entropy": 5.630274534225464, + "epoch": 8.496776966050708, + "grad_norm": 1.5703125, + "learning_rate": 7.913268719539785e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24791176468133927, + "num_tokens": 17978608.0, + "step": 9890 + }, + { + "entropy": 5.617410373687744, + "epoch": 8.501074344649764, + "grad_norm": 1.40625, + "learning_rate": 7.896927616909304e-05, + "loss": 4.7157, + "mean_token_accuracy": 0.2596577987074852, + "num_tokens": 17987563.0, + "step": 9895 + }, + { + "entropy": 5.6985677719116214, + "epoch": 8.505371723248818, + "grad_norm": 1.3359375, + "learning_rate": 7.880629319553623e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.2542118713259697, + "num_tokens": 17996493.0, + "step": 9900 + }, + { + "entropy": 5.660664224624634, + "epoch": 8.509669101847873, + "grad_norm": 1.3984375, + "learning_rate": 7.864373863061717e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2512780398130417, + "num_tokens": 18004578.0, + "step": 9905 + }, + { + "entropy": 5.619579887390136, + "epoch": 8.513966480446927, + "grad_norm": 1.5546875, + "learning_rate": 7.848161282929006e-05, + "loss": 4.7944, + "mean_token_accuracy": 0.24880642294883729, + "num_tokens": 18013366.0, + "step": 9910 + }, + { + "entropy": 5.679474544525147, + "epoch": 8.518263859045982, + "grad_norm": 1.5, + "learning_rate": 7.831991614557274e-05, + "loss": 4.8348, + "mean_token_accuracy": 0.23917439728975295, + "num_tokens": 18021718.0, + "step": 9915 + }, + { + "entropy": 5.6579587936401365, + "epoch": 8.522561237645036, + "grad_norm": 1.515625, + "learning_rate": 7.815864893254619e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2455276608467102, + "num_tokens": 18030770.0, + "step": 9920 + }, + { + "entropy": 5.663690233230591, + "epoch": 8.526858616244091, + "grad_norm": 1.4140625, + "learning_rate": 7.799781154235361e-05, + "loss": 4.8306, + "mean_token_accuracy": 0.24498046338558196, + "num_tokens": 18039009.0, + "step": 9925 + }, + { + "entropy": 5.722172498703003, + "epoch": 8.531155994843147, + "grad_norm": 1.6015625, + "learning_rate": 7.783740432619954e-05, + "loss": 4.8863, + "mean_token_accuracy": 0.2334560737013817, + "num_tokens": 18046677.0, + "step": 9930 + }, + { + "entropy": 5.644006681442261, + "epoch": 8.5354533734422, + "grad_norm": 1.4921875, + "learning_rate": 7.767742763434922e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2409740775823593, + "num_tokens": 18056772.0, + "step": 9935 + }, + { + "entropy": 5.589591312408447, + "epoch": 8.539750752041256, + "grad_norm": 1.4140625, + "learning_rate": 7.75178818161277e-05, + "loss": 4.7222, + "mean_token_accuracy": 0.25535061210393906, + "num_tokens": 18065387.0, + "step": 9940 + }, + { + "entropy": 5.667737579345703, + "epoch": 8.54404813064031, + "grad_norm": 1.5, + "learning_rate": 7.735876721991945e-05, + "loss": 4.8786, + "mean_token_accuracy": 0.24178892970085145, + "num_tokens": 18074495.0, + "step": 9945 + }, + { + "entropy": 5.685311031341553, + "epoch": 8.548345509239365, + "grad_norm": 1.3203125, + "learning_rate": 7.720008419316708e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24099551886320114, + "num_tokens": 18083351.0, + "step": 9950 + }, + { + "entropy": 5.613406562805176, + "epoch": 8.552642887838418, + "grad_norm": 1.375, + "learning_rate": 7.704183308237089e-05, + "loss": 4.7478, + "mean_token_accuracy": 0.256206014752388, + "num_tokens": 18092632.0, + "step": 9955 + }, + { + "entropy": 5.592525625228882, + "epoch": 8.556940266437474, + "grad_norm": 1.3515625, + "learning_rate": 7.688401423308799e-05, + "loss": 4.758, + "mean_token_accuracy": 0.25166425555944444, + "num_tokens": 18102380.0, + "step": 9960 + }, + { + "entropy": 5.575402688980103, + "epoch": 8.561237645036528, + "grad_norm": 1.5703125, + "learning_rate": 7.672662798993174e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.25995253920555117, + "num_tokens": 18111254.0, + "step": 9965 + }, + { + "entropy": 5.668489742279053, + "epoch": 8.565535023635583, + "grad_norm": 1.4296875, + "learning_rate": 7.656967469657083e-05, + "loss": 4.8124, + "mean_token_accuracy": 0.24452023208141327, + "num_tokens": 18119998.0, + "step": 9970 + }, + { + "entropy": 5.618843078613281, + "epoch": 8.569832402234637, + "grad_norm": 1.4140625, + "learning_rate": 7.641315469572841e-05, + "loss": 4.7452, + "mean_token_accuracy": 0.2510646566748619, + "num_tokens": 18129237.0, + "step": 9975 + }, + { + "entropy": 5.674667453765869, + "epoch": 8.574129780833692, + "grad_norm": 1.3125, + "learning_rate": 7.625706832918172e-05, + "loss": 4.8343, + "mean_token_accuracy": 0.24694945514202118, + "num_tokens": 18138440.0, + "step": 9980 + }, + { + "entropy": 5.677858638763428, + "epoch": 8.578427159432746, + "grad_norm": 1.4375, + "learning_rate": 7.610141593776091e-05, + "loss": 4.9126, + "mean_token_accuracy": 0.23654921650886535, + "num_tokens": 18147712.0, + "step": 9985 + }, + { + "entropy": 5.656866931915284, + "epoch": 8.582724538031801, + "grad_norm": 1.4609375, + "learning_rate": 7.59461978613486e-05, + "loss": 4.8304, + "mean_token_accuracy": 0.23874644041061402, + "num_tokens": 18156710.0, + "step": 9990 + }, + { + "entropy": 5.644109725952148, + "epoch": 8.587021916630855, + "grad_norm": 1.515625, + "learning_rate": 7.579141443887901e-05, + "loss": 4.7803, + "mean_token_accuracy": 0.2478152796626091, + "num_tokens": 18165412.0, + "step": 9995 + }, + { + "entropy": 5.652941131591797, + "epoch": 8.59131929522991, + "grad_norm": 1.578125, + "learning_rate": 7.563706600833737e-05, + "loss": 4.8194, + "mean_token_accuracy": 0.24661646783351898, + "num_tokens": 18174415.0, + "step": 10000 + }, + { + "epoch": 8.59131929522991, + "eval_entropy": 5.45993368367891, + "eval_loss": 5.879827976226807, + "eval_mean_token_accuracy": 0.1841710262034122, + "eval_num_tokens": 18174415.0, + "eval_runtime": 2.0477, + "eval_samples_per_second": 1733.145, + "eval_steps_per_second": 216.826, + "step": 10000 + }, + { + "entropy": 5.582108640670777, + "epoch": 8.595616673828964, + "grad_norm": 1.6484375, + "learning_rate": 7.548315290675886e-05, + "loss": 4.7544, + "mean_token_accuracy": 0.2536217987537384, + "num_tokens": 18183468.0, + "step": 10005 + }, + { + "entropy": 5.594784164428711, + "epoch": 8.59991405242802, + "grad_norm": 1.375, + "learning_rate": 7.532967547022825e-05, + "loss": 4.7644, + "mean_token_accuracy": 0.25198703110218046, + "num_tokens": 18192552.0, + "step": 10010 + }, + { + "entropy": 5.632088756561279, + "epoch": 8.604211431027073, + "grad_norm": 1.515625, + "learning_rate": 7.517663403387874e-05, + "loss": 4.8489, + "mean_token_accuracy": 0.24825350791215897, + "num_tokens": 18202056.0, + "step": 10015 + }, + { + "entropy": 5.578985023498535, + "epoch": 8.608508809626128, + "grad_norm": 1.4765625, + "learning_rate": 7.502402893189191e-05, + "loss": 4.7289, + "mean_token_accuracy": 0.25674757063388826, + "num_tokens": 18210329.0, + "step": 10020 + }, + { + "entropy": 5.71737813949585, + "epoch": 8.612806188225182, + "grad_norm": 1.328125, + "learning_rate": 7.487186049749618e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.2366224303841591, + "num_tokens": 18219143.0, + "step": 10025 + }, + { + "entropy": 5.631614637374878, + "epoch": 8.617103566824238, + "grad_norm": 1.40625, + "learning_rate": 7.472012906296658e-05, + "loss": 4.7979, + "mean_token_accuracy": 0.24905427694320678, + "num_tokens": 18227679.0, + "step": 10030 + }, + { + "entropy": 5.615096664428711, + "epoch": 8.621400945423291, + "grad_norm": 1.2265625, + "learning_rate": 7.45688349596239e-05, + "loss": 4.7738, + "mean_token_accuracy": 0.2522251158952713, + "num_tokens": 18237522.0, + "step": 10035 + }, + { + "entropy": 5.646911573410034, + "epoch": 8.625698324022347, + "grad_norm": 1.4609375, + "learning_rate": 7.441797851783402e-05, + "loss": 4.8238, + "mean_token_accuracy": 0.2428828716278076, + "num_tokens": 18245969.0, + "step": 10040 + }, + { + "entropy": 5.627325582504272, + "epoch": 8.6299957026214, + "grad_norm": 1.515625, + "learning_rate": 7.426756006700716e-05, + "loss": 4.7666, + "mean_token_accuracy": 0.25277192890644073, + "num_tokens": 18254886.0, + "step": 10045 + }, + { + "entropy": 5.686093473434449, + "epoch": 8.634293081220456, + "grad_norm": 1.5703125, + "learning_rate": 7.411757993559702e-05, + "loss": 4.889, + "mean_token_accuracy": 0.24558345079421998, + "num_tokens": 18264222.0, + "step": 10050 + }, + { + "entropy": 5.702205467224121, + "epoch": 8.63859045981951, + "grad_norm": 1.4765625, + "learning_rate": 7.396803845110032e-05, + "loss": 4.8488, + "mean_token_accuracy": 0.25144137591123583, + "num_tokens": 18273548.0, + "step": 10055 + }, + { + "entropy": 5.66311354637146, + "epoch": 8.642887838418565, + "grad_norm": 1.4453125, + "learning_rate": 7.381893594005585e-05, + "loss": 4.8137, + "mean_token_accuracy": 0.24637157917022706, + "num_tokens": 18282842.0, + "step": 10060 + }, + { + "entropy": 5.6392535209655765, + "epoch": 8.647185217017618, + "grad_norm": 1.453125, + "learning_rate": 7.367027272804387e-05, + "loss": 4.7912, + "mean_token_accuracy": 0.24758926182985305, + "num_tokens": 18291133.0, + "step": 10065 + }, + { + "entropy": 5.656706380844116, + "epoch": 8.651482595616674, + "grad_norm": 1.3984375, + "learning_rate": 7.352204913968546e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.24841432571411132, + "num_tokens": 18300936.0, + "step": 10070 + }, + { + "entropy": 5.6700053215026855, + "epoch": 8.65577997421573, + "grad_norm": 1.2265625, + "learning_rate": 7.337426549864175e-05, + "loss": 4.8512, + "mean_token_accuracy": 0.24023033082485198, + "num_tokens": 18311372.0, + "step": 10075 + }, + { + "entropy": 5.655622768402099, + "epoch": 8.660077352814783, + "grad_norm": 1.2890625, + "learning_rate": 7.322692212761306e-05, + "loss": 4.8588, + "mean_token_accuracy": 0.24819429963827133, + "num_tokens": 18321166.0, + "step": 10080 + }, + { + "entropy": 5.672299194335937, + "epoch": 8.664374731413837, + "grad_norm": 1.5234375, + "learning_rate": 7.308001934833844e-05, + "loss": 4.8068, + "mean_token_accuracy": 0.24570150524377823, + "num_tokens": 18330399.0, + "step": 10085 + }, + { + "entropy": 5.6919238567352295, + "epoch": 8.668672110012892, + "grad_norm": 1.46875, + "learning_rate": 7.29335574815948e-05, + "loss": 4.7831, + "mean_token_accuracy": 0.24971666783094407, + "num_tokens": 18338920.0, + "step": 10090 + }, + { + "entropy": 5.647150468826294, + "epoch": 8.672969488611947, + "grad_norm": 1.3046875, + "learning_rate": 7.278753684719636e-05, + "loss": 4.8084, + "mean_token_accuracy": 0.2445070579648018, + "num_tokens": 18348515.0, + "step": 10095 + }, + { + "entropy": 5.6693848133087155, + "epoch": 8.677266867211001, + "grad_norm": 1.4765625, + "learning_rate": 7.264195776399386e-05, + "loss": 4.8275, + "mean_token_accuracy": 0.2455286830663681, + "num_tokens": 18357353.0, + "step": 10100 + }, + { + "entropy": 5.631603240966797, + "epoch": 8.681564245810057, + "grad_norm": 1.390625, + "learning_rate": 7.249682054987381e-05, + "loss": 4.7488, + "mean_token_accuracy": 0.25079986453056335, + "num_tokens": 18366434.0, + "step": 10105 + }, + { + "entropy": 5.709641027450561, + "epoch": 8.68586162440911, + "grad_norm": 1.34375, + "learning_rate": 7.23521255217578e-05, + "loss": 4.8827, + "mean_token_accuracy": 0.23537713289260864, + "num_tokens": 18375589.0, + "step": 10110 + }, + { + "entropy": 5.6438311576843265, + "epoch": 8.690159003008166, + "grad_norm": 1.3984375, + "learning_rate": 7.220787299560205e-05, + "loss": 4.8076, + "mean_token_accuracy": 0.2504834607243538, + "num_tokens": 18384904.0, + "step": 10115 + }, + { + "entropy": 5.618740224838257, + "epoch": 8.69445638160722, + "grad_norm": 1.5234375, + "learning_rate": 7.20640632863963e-05, + "loss": 4.7024, + "mean_token_accuracy": 0.25854243636131286, + "num_tokens": 18393833.0, + "step": 10120 + }, + { + "entropy": 5.633188009262085, + "epoch": 8.698753760206275, + "grad_norm": 1.4296875, + "learning_rate": 7.192069670816359e-05, + "loss": 4.8576, + "mean_token_accuracy": 0.241273033618927, + "num_tokens": 18403444.0, + "step": 10125 + }, + { + "entropy": 5.624459218978882, + "epoch": 8.703051138805328, + "grad_norm": 1.59375, + "learning_rate": 7.177777357395912e-05, + "loss": 4.7869, + "mean_token_accuracy": 0.2525374382734299, + "num_tokens": 18412091.0, + "step": 10130 + }, + { + "entropy": 5.629094934463501, + "epoch": 8.707348517404384, + "grad_norm": 1.4765625, + "learning_rate": 7.163529419587002e-05, + "loss": 4.7907, + "mean_token_accuracy": 0.24723465293645858, + "num_tokens": 18421655.0, + "step": 10135 + }, + { + "entropy": 5.711287641525269, + "epoch": 8.711645896003438, + "grad_norm": 1.421875, + "learning_rate": 7.149325888501418e-05, + "loss": 4.879, + "mean_token_accuracy": 0.24357055127620697, + "num_tokens": 18431239.0, + "step": 10140 + }, + { + "entropy": 5.641200685501099, + "epoch": 8.715943274602493, + "grad_norm": 1.3515625, + "learning_rate": 7.135166795153992e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2550801619887352, + "num_tokens": 18440572.0, + "step": 10145 + }, + { + "entropy": 5.671554136276245, + "epoch": 8.720240653201547, + "grad_norm": 1.453125, + "learning_rate": 7.121052170462541e-05, + "loss": 4.8463, + "mean_token_accuracy": 0.24792980551719665, + "num_tokens": 18449245.0, + "step": 10150 + }, + { + "entropy": 5.579294300079345, + "epoch": 8.724538031800602, + "grad_norm": 1.5390625, + "learning_rate": 7.106982045247754e-05, + "loss": 4.6967, + "mean_token_accuracy": 0.26570699363946915, + "num_tokens": 18457961.0, + "step": 10155 + }, + { + "entropy": 5.6380534172058105, + "epoch": 8.728835410399656, + "grad_norm": 1.3984375, + "learning_rate": 7.092956450233162e-05, + "loss": 4.8613, + "mean_token_accuracy": 0.2413666471838951, + "num_tokens": 18467956.0, + "step": 10160 + }, + { + "entropy": 5.6795158863067625, + "epoch": 8.733132788998711, + "grad_norm": 1.3203125, + "learning_rate": 7.078975416045055e-05, + "loss": 4.7933, + "mean_token_accuracy": 0.2507988974452019, + "num_tokens": 18477313.0, + "step": 10165 + }, + { + "entropy": 5.592861557006836, + "epoch": 8.737430167597765, + "grad_norm": 1.6484375, + "learning_rate": 7.065038973212424e-05, + "loss": 4.6759, + "mean_token_accuracy": 0.260982346534729, + "num_tokens": 18485690.0, + "step": 10170 + }, + { + "entropy": 5.639511489868164, + "epoch": 8.74172754619682, + "grad_norm": 1.5703125, + "learning_rate": 7.051147152166896e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.252939784526825, + "num_tokens": 18494150.0, + "step": 10175 + }, + { + "entropy": 5.585833978652954, + "epoch": 8.746024924795874, + "grad_norm": 1.2265625, + "learning_rate": 7.037299983242652e-05, + "loss": 4.7762, + "mean_token_accuracy": 0.25288844257593157, + "num_tokens": 18504091.0, + "step": 10180 + }, + { + "entropy": 5.6570563316345215, + "epoch": 8.75032230339493, + "grad_norm": 1.4140625, + "learning_rate": 7.023497496676371e-05, + "loss": 4.8169, + "mean_token_accuracy": 0.24400742948055268, + "num_tokens": 18513695.0, + "step": 10185 + }, + { + "entropy": 5.645201253890991, + "epoch": 8.754619681993983, + "grad_norm": 1.296875, + "learning_rate": 7.009739722607173e-05, + "loss": 4.7747, + "mean_token_accuracy": 0.25545826405286787, + "num_tokens": 18522551.0, + "step": 10190 + }, + { + "entropy": 5.678719329833984, + "epoch": 8.758917060593038, + "grad_norm": 1.40625, + "learning_rate": 6.996026691076531e-05, + "loss": 4.9283, + "mean_token_accuracy": 0.2372728779911995, + "num_tokens": 18533290.0, + "step": 10195 + }, + { + "entropy": 5.646335554122925, + "epoch": 8.763214439192092, + "grad_norm": 1.390625, + "learning_rate": 6.982358432028234e-05, + "loss": 4.7396, + "mean_token_accuracy": 0.2493108794093132, + "num_tokens": 18542990.0, + "step": 10200 + }, + { + "entropy": 5.754535675048828, + "epoch": 8.767511817791148, + "grad_norm": 1.453125, + "learning_rate": 6.968734975308283e-05, + "loss": 4.9163, + "mean_token_accuracy": 0.23316902965307235, + "num_tokens": 18552525.0, + "step": 10205 + }, + { + "entropy": 5.613467741012573, + "epoch": 8.771809196390201, + "grad_norm": 1.4375, + "learning_rate": 6.955156350664876e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2547129586338997, + "num_tokens": 18561741.0, + "step": 10210 + }, + { + "entropy": 5.715860271453858, + "epoch": 8.776106574989257, + "grad_norm": 1.4609375, + "learning_rate": 6.941622587748298e-05, + "loss": 4.8939, + "mean_token_accuracy": 0.2358478605747223, + "num_tokens": 18570130.0, + "step": 10215 + }, + { + "entropy": 5.6053954601287845, + "epoch": 8.780403953588312, + "grad_norm": 1.484375, + "learning_rate": 6.928133716110863e-05, + "loss": 4.7973, + "mean_token_accuracy": 0.24966762959957123, + "num_tokens": 18579149.0, + "step": 10220 + }, + { + "entropy": 5.650966930389404, + "epoch": 8.784701332187366, + "grad_norm": 1.4921875, + "learning_rate": 6.914689765206899e-05, + "loss": 4.722, + "mean_token_accuracy": 0.2569688901305199, + "num_tokens": 18587604.0, + "step": 10225 + }, + { + "entropy": 5.668413829803467, + "epoch": 8.78899871078642, + "grad_norm": 1.5546875, + "learning_rate": 6.901290764392609e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25286874175071716, + "num_tokens": 18596056.0, + "step": 10230 + }, + { + "entropy": 5.673072862625122, + "epoch": 8.793296089385475, + "grad_norm": 1.2265625, + "learning_rate": 6.887936742926058e-05, + "loss": 4.8267, + "mean_token_accuracy": 0.24095726311206817, + "num_tokens": 18605575.0, + "step": 10235 + }, + { + "entropy": 5.602101993560791, + "epoch": 8.79759346798453, + "grad_norm": 1.3984375, + "learning_rate": 6.874627729967086e-05, + "loss": 4.7614, + "mean_token_accuracy": 0.25367412269115447, + "num_tokens": 18614206.0, + "step": 10240 + }, + { + "entropy": 5.634996032714843, + "epoch": 8.801890846583584, + "grad_norm": 1.3125, + "learning_rate": 6.861363754577262e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.25228522568941114, + "num_tokens": 18623067.0, + "step": 10245 + }, + { + "entropy": 5.583075428009034, + "epoch": 8.80618822518264, + "grad_norm": 1.53125, + "learning_rate": 6.848144845719808e-05, + "loss": 4.762, + "mean_token_accuracy": 0.25409252345561983, + "num_tokens": 18632266.0, + "step": 10250 + }, + { + "entropy": 5.593589639663696, + "epoch": 8.810485603781693, + "grad_norm": 1.4765625, + "learning_rate": 6.834971032259537e-05, + "loss": 4.7551, + "mean_token_accuracy": 0.24724589586257933, + "num_tokens": 18640516.0, + "step": 10255 + }, + { + "entropy": 5.59733476638794, + "epoch": 8.814782982380748, + "grad_norm": 1.5234375, + "learning_rate": 6.821842342962786e-05, + "loss": 4.7732, + "mean_token_accuracy": 0.2560932472348213, + "num_tokens": 18649368.0, + "step": 10260 + }, + { + "entropy": 5.605298137664795, + "epoch": 8.819080360979802, + "grad_norm": 1.453125, + "learning_rate": 6.808758806497375e-05, + "loss": 4.7547, + "mean_token_accuracy": 0.25770940631628036, + "num_tokens": 18658306.0, + "step": 10265 + }, + { + "entropy": 5.668881273269653, + "epoch": 8.823377739578858, + "grad_norm": 1.4921875, + "learning_rate": 6.795720451432509e-05, + "loss": 4.763, + "mean_token_accuracy": 0.2539924278855324, + "num_tokens": 18668676.0, + "step": 10270 + }, + { + "entropy": 5.653170919418335, + "epoch": 8.827675118177911, + "grad_norm": 1.3359375, + "learning_rate": 6.782727306238749e-05, + "loss": 4.8899, + "mean_token_accuracy": 0.23995666801929474, + "num_tokens": 18677840.0, + "step": 10275 + }, + { + "entropy": 5.571465110778808, + "epoch": 8.831972496776967, + "grad_norm": 1.578125, + "learning_rate": 6.769779399287928e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.2465637966990471, + "num_tokens": 18685733.0, + "step": 10280 + }, + { + "entropy": 5.609991598129272, + "epoch": 8.83626987537602, + "grad_norm": 1.40625, + "learning_rate": 6.756876758853104e-05, + "loss": 4.7832, + "mean_token_accuracy": 0.24858400970697403, + "num_tokens": 18694648.0, + "step": 10285 + }, + { + "entropy": 5.614251518249512, + "epoch": 8.840567253975076, + "grad_norm": 1.671875, + "learning_rate": 6.744019413108486e-05, + "loss": 4.7793, + "mean_token_accuracy": 0.25418430119752883, + "num_tokens": 18702758.0, + "step": 10290 + }, + { + "entropy": 5.661041927337647, + "epoch": 8.84486463257413, + "grad_norm": 1.453125, + "learning_rate": 6.731207390129366e-05, + "loss": 4.8443, + "mean_token_accuracy": 0.23748955130577087, + "num_tokens": 18712257.0, + "step": 10295 + }, + { + "entropy": 5.648515462875366, + "epoch": 8.849162011173185, + "grad_norm": 1.265625, + "learning_rate": 6.7184407178921e-05, + "loss": 4.8226, + "mean_token_accuracy": 0.25025610327720643, + "num_tokens": 18722337.0, + "step": 10300 + }, + { + "entropy": 5.668762063980102, + "epoch": 8.853459389772238, + "grad_norm": 1.5390625, + "learning_rate": 6.70571942427399e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24509814977645875, + "num_tokens": 18731260.0, + "step": 10305 + }, + { + "entropy": 5.696825885772705, + "epoch": 8.857756768371294, + "grad_norm": 1.484375, + "learning_rate": 6.693043537053254e-05, + "loss": 4.9, + "mean_token_accuracy": 0.23831938505172728, + "num_tokens": 18741357.0, + "step": 10310 + }, + { + "entropy": 5.636625862121582, + "epoch": 8.862054146970348, + "grad_norm": 1.4453125, + "learning_rate": 6.68041308390896e-05, + "loss": 4.8411, + "mean_token_accuracy": 0.2473379299044609, + "num_tokens": 18751694.0, + "step": 10315 + }, + { + "entropy": 5.678902578353882, + "epoch": 8.866351525569403, + "grad_norm": 1.34375, + "learning_rate": 6.667828092420977e-05, + "loss": 4.8471, + "mean_token_accuracy": 0.24866860657930373, + "num_tokens": 18760679.0, + "step": 10320 + }, + { + "entropy": 5.607882404327393, + "epoch": 8.870648904168457, + "grad_norm": 1.375, + "learning_rate": 6.655288590069889e-05, + "loss": 4.7921, + "mean_token_accuracy": 0.254789824783802, + "num_tokens": 18769650.0, + "step": 10325 + }, + { + "entropy": 5.594926452636718, + "epoch": 8.874946282767512, + "grad_norm": 1.375, + "learning_rate": 6.642794604236965e-05, + "loss": 4.8221, + "mean_token_accuracy": 0.24797703474760055, + "num_tokens": 18780076.0, + "step": 10330 + }, + { + "entropy": 5.618593168258667, + "epoch": 8.879243661366566, + "grad_norm": 1.3984375, + "learning_rate": 6.630346162204069e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.2526925429701805, + "num_tokens": 18789034.0, + "step": 10335 + }, + { + "entropy": 5.6028295993804935, + "epoch": 8.883541039965621, + "grad_norm": 1.6484375, + "learning_rate": 6.617943291153631e-05, + "loss": 4.6939, + "mean_token_accuracy": 0.25986738353967664, + "num_tokens": 18797916.0, + "step": 10340 + }, + { + "entropy": 5.710940647125244, + "epoch": 8.887838418564675, + "grad_norm": 1.6171875, + "learning_rate": 6.605586018168558e-05, + "loss": 4.81, + "mean_token_accuracy": 0.24979257434606553, + "num_tokens": 18806895.0, + "step": 10345 + }, + { + "entropy": 5.683839225769043, + "epoch": 8.89213579716373, + "grad_norm": 1.34375, + "learning_rate": 6.593274370232191e-05, + "loss": 4.8327, + "mean_token_accuracy": 0.2464034602046013, + "num_tokens": 18816049.0, + "step": 10350 + }, + { + "entropy": 5.628410482406617, + "epoch": 8.896433175762784, + "grad_norm": 1.3359375, + "learning_rate": 6.581008374228255e-05, + "loss": 4.7908, + "mean_token_accuracy": 0.2461797282099724, + "num_tokens": 18825491.0, + "step": 10355 + }, + { + "entropy": 5.622152996063233, + "epoch": 8.90073055436184, + "grad_norm": 1.4296875, + "learning_rate": 6.568788056940785e-05, + "loss": 4.8165, + "mean_token_accuracy": 0.2465150237083435, + "num_tokens": 18834677.0, + "step": 10360 + }, + { + "entropy": 5.6243490219116214, + "epoch": 8.905027932960895, + "grad_norm": 1.359375, + "learning_rate": 6.556613445054063e-05, + "loss": 4.7228, + "mean_token_accuracy": 0.25819993317127227, + "num_tokens": 18844283.0, + "step": 10365 + }, + { + "entropy": 5.675375461578369, + "epoch": 8.909325311559948, + "grad_norm": 1.3515625, + "learning_rate": 6.544484565152577e-05, + "loss": 4.7937, + "mean_token_accuracy": 0.2524940297007561, + "num_tokens": 18853403.0, + "step": 10370 + }, + { + "entropy": 5.635634279251098, + "epoch": 8.913622690159002, + "grad_norm": 1.65625, + "learning_rate": 6.532401443720951e-05, + "loss": 4.8251, + "mean_token_accuracy": 0.24945158213377, + "num_tokens": 18861530.0, + "step": 10375 + }, + { + "entropy": 5.646540689468384, + "epoch": 8.917920068758058, + "grad_norm": 1.265625, + "learning_rate": 6.520364107143898e-05, + "loss": 4.8436, + "mean_token_accuracy": 0.24798599183559417, + "num_tokens": 18871495.0, + "step": 10380 + }, + { + "entropy": 5.6593023300170895, + "epoch": 8.922217447357113, + "grad_norm": 1.375, + "learning_rate": 6.50837258170615e-05, + "loss": 4.8269, + "mean_token_accuracy": 0.24874897450208663, + "num_tokens": 18881099.0, + "step": 10385 + }, + { + "entropy": 5.668875980377197, + "epoch": 8.926514825956167, + "grad_norm": 1.3984375, + "learning_rate": 6.496426893592397e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.2391132190823555, + "num_tokens": 18890368.0, + "step": 10390 + }, + { + "entropy": 5.667122745513916, + "epoch": 8.930812204555222, + "grad_norm": 1.5234375, + "learning_rate": 6.484527068887258e-05, + "loss": 4.8371, + "mean_token_accuracy": 0.24273379147052765, + "num_tokens": 18898576.0, + "step": 10395 + }, + { + "entropy": 5.638441038131714, + "epoch": 8.935109583154276, + "grad_norm": 1.546875, + "learning_rate": 6.472673133575181e-05, + "loss": 4.7597, + "mean_token_accuracy": 0.24820929765701294, + "num_tokens": 18907276.0, + "step": 10400 + }, + { + "entropy": 5.664800548553467, + "epoch": 8.939406961753331, + "grad_norm": 1.5, + "learning_rate": 6.460865113540437e-05, + "loss": 4.7591, + "mean_token_accuracy": 0.25227137207984923, + "num_tokens": 18915920.0, + "step": 10405 + }, + { + "entropy": 5.680027961730957, + "epoch": 8.943704340352385, + "grad_norm": 1.40625, + "learning_rate": 6.449103034567011e-05, + "loss": 4.7592, + "mean_token_accuracy": 0.2561339348554611, + "num_tokens": 18925529.0, + "step": 10410 + }, + { + "entropy": 5.664671468734741, + "epoch": 8.94800171895144, + "grad_norm": 1.484375, + "learning_rate": 6.437386922338591e-05, + "loss": 4.861, + "mean_token_accuracy": 0.240652696788311, + "num_tokens": 18934859.0, + "step": 10415 + }, + { + "entropy": 5.666413927078247, + "epoch": 8.952299097550494, + "grad_norm": 1.5078125, + "learning_rate": 6.425716802438479e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.24916145354509353, + "num_tokens": 18943804.0, + "step": 10420 + }, + { + "entropy": 5.626944637298584, + "epoch": 8.95659647614955, + "grad_norm": 1.53125, + "learning_rate": 6.414092700349548e-05, + "loss": 4.804, + "mean_token_accuracy": 0.25158223062753676, + "num_tokens": 18954290.0, + "step": 10425 + }, + { + "entropy": 5.677120351791382, + "epoch": 8.960893854748603, + "grad_norm": 1.453125, + "learning_rate": 6.402514641454192e-05, + "loss": 4.91, + "mean_token_accuracy": 0.23440527617931367, + "num_tokens": 18963448.0, + "step": 10430 + }, + { + "entropy": 5.629398536682129, + "epoch": 8.965191233347658, + "grad_norm": 1.3515625, + "learning_rate": 6.390982651034274e-05, + "loss": 4.8127, + "mean_token_accuracy": 0.24613251239061357, + "num_tokens": 18972314.0, + "step": 10435 + }, + { + "entropy": 5.608459091186523, + "epoch": 8.969488611946712, + "grad_norm": 1.59375, + "learning_rate": 6.379496754271044e-05, + "loss": 4.6478, + "mean_token_accuracy": 0.2624844193458557, + "num_tokens": 18980720.0, + "step": 10440 + }, + { + "entropy": 5.566482067108154, + "epoch": 8.973785990545768, + "grad_norm": 1.5703125, + "learning_rate": 6.368056976245107e-05, + "loss": 4.6832, + "mean_token_accuracy": 0.27008168697357177, + "num_tokens": 18988267.0, + "step": 10445 + }, + { + "entropy": 5.61891360282898, + "epoch": 8.978083369144821, + "grad_norm": 1.546875, + "learning_rate": 6.356663341936368e-05, + "loss": 4.7809, + "mean_token_accuracy": 0.24728458374738693, + "num_tokens": 18997036.0, + "step": 10450 + }, + { + "entropy": 5.63971700668335, + "epoch": 8.982380747743877, + "grad_norm": 1.515625, + "learning_rate": 6.345315876223977e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.25158697068691255, + "num_tokens": 19005440.0, + "step": 10455 + }, + { + "entropy": 5.617656993865967, + "epoch": 8.98667812634293, + "grad_norm": 1.4765625, + "learning_rate": 6.334014603886256e-05, + "loss": 4.8081, + "mean_token_accuracy": 0.25301000475883484, + "num_tokens": 19014449.0, + "step": 10460 + }, + { + "entropy": 5.6047585010528564, + "epoch": 8.990975504941986, + "grad_norm": 1.5546875, + "learning_rate": 6.322759549600665e-05, + "loss": 4.7627, + "mean_token_accuracy": 0.24849656075239182, + "num_tokens": 19024061.0, + "step": 10465 + }, + { + "entropy": 5.575642251968384, + "epoch": 8.99527288354104, + "grad_norm": 1.4375, + "learning_rate": 6.311550737943753e-05, + "loss": 4.7483, + "mean_token_accuracy": 0.257401143014431, + "num_tokens": 19033400.0, + "step": 10470 + }, + { + "entropy": 5.665790462493897, + "epoch": 8.999570262140095, + "grad_norm": 1.4296875, + "learning_rate": 6.300388193391075e-05, + "loss": 4.8158, + "mean_token_accuracy": 0.24791148900985718, + "num_tokens": 19042633.0, + "step": 10475 + }, + { + "entropy": 5.64085324605306, + "epoch": 9.003437902879243, + "grad_norm": 1.390625, + "learning_rate": 6.289271940317174e-05, + "loss": 4.8769, + "mean_token_accuracy": 0.2419930464691586, + "num_tokens": 19051120.0, + "step": 10480 + }, + { + "entropy": 5.6130658149719235, + "epoch": 9.007735281478299, + "grad_norm": 1.4375, + "learning_rate": 6.278202002995497e-05, + "loss": 4.7878, + "mean_token_accuracy": 0.25171366333961487, + "num_tokens": 19060755.0, + "step": 10485 + }, + { + "entropy": 5.610973453521728, + "epoch": 9.012032660077352, + "grad_norm": 1.5078125, + "learning_rate": 6.267178405598371e-05, + "loss": 4.7215, + "mean_token_accuracy": 0.2603663995862007, + "num_tokens": 19069197.0, + "step": 10490 + }, + { + "entropy": 5.675764322280884, + "epoch": 9.016330038676408, + "grad_norm": 1.453125, + "learning_rate": 6.256201172196921e-05, + "loss": 4.7783, + "mean_token_accuracy": 0.25133358389139177, + "num_tokens": 19078452.0, + "step": 10495 + }, + { + "entropy": 5.640312767028808, + "epoch": 9.020627417275461, + "grad_norm": 1.390625, + "learning_rate": 6.245270326761034e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.2465323805809021, + "num_tokens": 19087127.0, + "step": 10500 + }, + { + "epoch": 9.020627417275461, + "eval_entropy": 5.4709870262188955, + "eval_loss": 5.88071870803833, + "eval_mean_token_accuracy": 0.18410248618136654, + "eval_num_tokens": 19087127.0, + "eval_runtime": 2.0494, + "eval_samples_per_second": 1731.732, + "eval_steps_per_second": 216.649, + "step": 10500 + }, + { + "entropy": 5.669859838485718, + "epoch": 9.024924795874517, + "grad_norm": 1.53125, + "learning_rate": 6.234385893159311e-05, + "loss": 4.7838, + "mean_token_accuracy": 0.2515318378806114, + "num_tokens": 19095610.0, + "step": 10505 + }, + { + "entropy": 5.657605171203613, + "epoch": 9.02922217447357, + "grad_norm": 1.5234375, + "learning_rate": 6.223547895159009e-05, + "loss": 4.7404, + "mean_token_accuracy": 0.25628202855587007, + "num_tokens": 19103649.0, + "step": 10510 + }, + { + "entropy": 5.5712086200714115, + "epoch": 9.033519553072626, + "grad_norm": 1.4375, + "learning_rate": 6.212756356425978e-05, + "loss": 4.6999, + "mean_token_accuracy": 0.25828822106122973, + "num_tokens": 19112426.0, + "step": 10515 + }, + { + "entropy": 5.645226001739502, + "epoch": 9.03781693167168, + "grad_norm": 1.4140625, + "learning_rate": 6.202011300524623e-05, + "loss": 4.8116, + "mean_token_accuracy": 0.24831810742616653, + "num_tokens": 19121307.0, + "step": 10520 + }, + { + "entropy": 5.679613542556763, + "epoch": 9.042114310270735, + "grad_norm": 1.3671875, + "learning_rate": 6.191312750917855e-05, + "loss": 4.8263, + "mean_token_accuracy": 0.2535302057862282, + "num_tokens": 19129728.0, + "step": 10525 + }, + { + "entropy": 5.622981262207031, + "epoch": 9.046411688869789, + "grad_norm": 1.4765625, + "learning_rate": 6.180660730967036e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2522904068231583, + "num_tokens": 19139931.0, + "step": 10530 + }, + { + "entropy": 5.683325624465942, + "epoch": 9.050709067468844, + "grad_norm": 1.4609375, + "learning_rate": 6.170055263931912e-05, + "loss": 4.7445, + "mean_token_accuracy": 0.24987991899251938, + "num_tokens": 19148711.0, + "step": 10535 + }, + { + "entropy": 5.64924807548523, + "epoch": 9.055006446067898, + "grad_norm": 1.515625, + "learning_rate": 6.159496372970584e-05, + "loss": 4.7187, + "mean_token_accuracy": 0.24842094928026198, + "num_tokens": 19156937.0, + "step": 10540 + }, + { + "entropy": 5.594881010055542, + "epoch": 9.059303824666953, + "grad_norm": 1.3125, + "learning_rate": 6.148984081139454e-05, + "loss": 4.7702, + "mean_token_accuracy": 0.250566403567791, + "num_tokens": 19166449.0, + "step": 10545 + }, + { + "entropy": 5.676750993728637, + "epoch": 9.063601203266007, + "grad_norm": 1.2109375, + "learning_rate": 6.138518411393163e-05, + "loss": 4.8824, + "mean_token_accuracy": 0.23818726986646652, + "num_tokens": 19175757.0, + "step": 10550 + }, + { + "entropy": 5.6487244129180905, + "epoch": 9.067898581865062, + "grad_norm": 1.46875, + "learning_rate": 6.128099386584548e-05, + "loss": 4.7894, + "mean_token_accuracy": 0.25352845937013624, + "num_tokens": 19184638.0, + "step": 10555 + }, + { + "entropy": 5.652242422103882, + "epoch": 9.072195960464116, + "grad_norm": 1.46875, + "learning_rate": 6.1177270294646e-05, + "loss": 4.8136, + "mean_token_accuracy": 0.24836055785417557, + "num_tokens": 19193791.0, + "step": 10560 + }, + { + "entropy": 5.592644214630127, + "epoch": 9.076493339063171, + "grad_norm": 1.46875, + "learning_rate": 6.107401362682401e-05, + "loss": 4.8297, + "mean_token_accuracy": 0.24406633228063584, + "num_tokens": 19202595.0, + "step": 10565 + }, + { + "entropy": 5.617107391357422, + "epoch": 9.080790717662227, + "grad_norm": 1.328125, + "learning_rate": 6.097122408785076e-05, + "loss": 4.7995, + "mean_token_accuracy": 0.24826500862836837, + "num_tokens": 19211994.0, + "step": 10570 + }, + { + "entropy": 5.664296865463257, + "epoch": 9.08508809626128, + "grad_norm": 1.421875, + "learning_rate": 6.086890190217752e-05, + "loss": 4.775, + "mean_token_accuracy": 0.25444269776344297, + "num_tokens": 19220588.0, + "step": 10575 + }, + { + "entropy": 5.598661231994629, + "epoch": 9.089385474860336, + "grad_norm": 1.546875, + "learning_rate": 6.076704729323507e-05, + "loss": 4.7082, + "mean_token_accuracy": 0.2616791486740112, + "num_tokens": 19229679.0, + "step": 10580 + }, + { + "entropy": 5.6352826118469235, + "epoch": 9.09368285345939, + "grad_norm": 1.4140625, + "learning_rate": 6.0665660483433173e-05, + "loss": 4.8391, + "mean_token_accuracy": 0.24676432013511657, + "num_tokens": 19239269.0, + "step": 10585 + }, + { + "entropy": 5.6875403881072994, + "epoch": 9.097980232058445, + "grad_norm": 1.4921875, + "learning_rate": 6.05647416941601e-05, + "loss": 4.8437, + "mean_token_accuracy": 0.2471165433526039, + "num_tokens": 19249046.0, + "step": 10590 + }, + { + "entropy": 5.616286373138427, + "epoch": 9.102277610657499, + "grad_norm": 1.4375, + "learning_rate": 6.046429114578212e-05, + "loss": 4.6969, + "mean_token_accuracy": 0.25456131249666214, + "num_tokens": 19257398.0, + "step": 10595 + }, + { + "entropy": 5.664317655563354, + "epoch": 9.106574989256554, + "grad_norm": 1.4609375, + "learning_rate": 6.0364309057643084e-05, + "loss": 4.8135, + "mean_token_accuracy": 0.24456136524677277, + "num_tokens": 19266619.0, + "step": 10600 + }, + { + "entropy": 5.697394466400146, + "epoch": 9.110872367855608, + "grad_norm": 1.484375, + "learning_rate": 6.0264795648063904e-05, + "loss": 4.8151, + "mean_token_accuracy": 0.24979521930217743, + "num_tokens": 19275837.0, + "step": 10605 + }, + { + "entropy": 5.682855892181396, + "epoch": 9.115169746454663, + "grad_norm": 1.296875, + "learning_rate": 6.0165751134342155e-05, + "loss": 4.7746, + "mean_token_accuracy": 0.242179574072361, + "num_tokens": 19284745.0, + "step": 10610 + }, + { + "entropy": 5.6265136241912845, + "epoch": 9.119467125053717, + "grad_norm": 1.3046875, + "learning_rate": 6.006717573275138e-05, + "loss": 4.7321, + "mean_token_accuracy": 0.2574576482176781, + "num_tokens": 19293956.0, + "step": 10615 + }, + { + "entropy": 5.661381340026855, + "epoch": 9.123764503652772, + "grad_norm": 1.1953125, + "learning_rate": 5.996906965854093e-05, + "loss": 4.8359, + "mean_token_accuracy": 0.2464934766292572, + "num_tokens": 19303629.0, + "step": 10620 + }, + { + "entropy": 5.669901990890503, + "epoch": 9.128061882251826, + "grad_norm": 1.5546875, + "learning_rate": 5.987143312593522e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.24552787095308304, + "num_tokens": 19312458.0, + "step": 10625 + }, + { + "entropy": 5.583899021148682, + "epoch": 9.132359260850881, + "grad_norm": 1.484375, + "learning_rate": 5.977426634813338e-05, + "loss": 4.7378, + "mean_token_accuracy": 0.2557566374540329, + "num_tokens": 19321428.0, + "step": 10630 + }, + { + "entropy": 5.6959641456604, + "epoch": 9.136656639449935, + "grad_norm": 1.5, + "learning_rate": 5.9677569537308866e-05, + "loss": 4.9001, + "mean_token_accuracy": 0.23603728413581848, + "num_tokens": 19331176.0, + "step": 10635 + }, + { + "entropy": 5.678333759307861, + "epoch": 9.14095401804899, + "grad_norm": 1.4296875, + "learning_rate": 5.958134290460888e-05, + "loss": 4.8093, + "mean_token_accuracy": 0.24847684800624847, + "num_tokens": 19340401.0, + "step": 10640 + }, + { + "entropy": 5.594663047790528, + "epoch": 9.145251396648044, + "grad_norm": 1.21875, + "learning_rate": 5.94855866601539e-05, + "loss": 4.7344, + "mean_token_accuracy": 0.25321966260671613, + "num_tokens": 19350700.0, + "step": 10645 + }, + { + "entropy": 5.658229923248291, + "epoch": 9.1495487752471, + "grad_norm": 1.4609375, + "learning_rate": 5.939030101303724e-05, + "loss": 4.7892, + "mean_token_accuracy": 0.24839598089456558, + "num_tokens": 19360040.0, + "step": 10650 + }, + { + "entropy": 5.663689517974854, + "epoch": 9.153846153846153, + "grad_norm": 1.515625, + "learning_rate": 5.929548617132472e-05, + "loss": 4.7355, + "mean_token_accuracy": 0.25522763580083846, + "num_tokens": 19368546.0, + "step": 10655 + }, + { + "entropy": 5.598207283020019, + "epoch": 9.158143532445209, + "grad_norm": 1.5703125, + "learning_rate": 5.920114234205407e-05, + "loss": 4.7166, + "mean_token_accuracy": 0.25508318692445753, + "num_tokens": 19377137.0, + "step": 10660 + }, + { + "entropy": 5.693424034118652, + "epoch": 9.162440911044262, + "grad_norm": 1.4296875, + "learning_rate": 5.910726973123451e-05, + "loss": 4.8644, + "mean_token_accuracy": 0.23823002427816392, + "num_tokens": 19385781.0, + "step": 10665 + }, + { + "entropy": 5.642845821380615, + "epoch": 9.166738289643318, + "grad_norm": 1.453125, + "learning_rate": 5.901386854384622e-05, + "loss": 4.8062, + "mean_token_accuracy": 0.25551503002643583, + "num_tokens": 19395186.0, + "step": 10670 + }, + { + "entropy": 5.684504127502441, + "epoch": 9.171035668242371, + "grad_norm": 1.515625, + "learning_rate": 5.892093898384017e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.25086683183908465, + "num_tokens": 19404140.0, + "step": 10675 + }, + { + "entropy": 5.649334859848023, + "epoch": 9.175333046841427, + "grad_norm": 1.484375, + "learning_rate": 5.8828481254137276e-05, + "loss": 4.8012, + "mean_token_accuracy": 0.2486447736620903, + "num_tokens": 19414481.0, + "step": 10680 + }, + { + "entropy": 5.533756256103516, + "epoch": 9.17963042544048, + "grad_norm": 1.6015625, + "learning_rate": 5.873649555662836e-05, + "loss": 4.6407, + "mean_token_accuracy": 0.2578012332320213, + "num_tokens": 19423259.0, + "step": 10685 + }, + { + "entropy": 5.624078559875488, + "epoch": 9.183927804039536, + "grad_norm": 1.4765625, + "learning_rate": 5.8644982092173335e-05, + "loss": 4.7787, + "mean_token_accuracy": 0.2532876804471016, + "num_tokens": 19432011.0, + "step": 10690 + }, + { + "entropy": 5.625823307037353, + "epoch": 9.18822518263859, + "grad_norm": 1.4296875, + "learning_rate": 5.85539410606011e-05, + "loss": 4.7681, + "mean_token_accuracy": 0.2507260128855705, + "num_tokens": 19441221.0, + "step": 10695 + }, + { + "entropy": 5.620725297927857, + "epoch": 9.192522561237645, + "grad_norm": 1.46875, + "learning_rate": 5.8463372660708836e-05, + "loss": 4.7071, + "mean_token_accuracy": 0.25606116056442263, + "num_tokens": 19450014.0, + "step": 10700 + }, + { + "entropy": 5.626107978820801, + "epoch": 9.196819939836699, + "grad_norm": 1.4375, + "learning_rate": 5.837327709026171e-05, + "loss": 4.8369, + "mean_token_accuracy": 0.24323922097682954, + "num_tokens": 19459480.0, + "step": 10705 + }, + { + "entropy": 5.652804756164551, + "epoch": 9.201117318435754, + "grad_norm": 1.3828125, + "learning_rate": 5.8283654545992464e-05, + "loss": 4.8259, + "mean_token_accuracy": 0.25096631944179537, + "num_tokens": 19469111.0, + "step": 10710 + }, + { + "entropy": 5.642743730545044, + "epoch": 9.20541469703481, + "grad_norm": 1.5, + "learning_rate": 5.819450522360096e-05, + "loss": 4.7641, + "mean_token_accuracy": 0.2504918292164803, + "num_tokens": 19477531.0, + "step": 10715 + }, + { + "entropy": 5.663795518875122, + "epoch": 9.209712075633863, + "grad_norm": 1.5546875, + "learning_rate": 5.810582931775362e-05, + "loss": 4.7953, + "mean_token_accuracy": 0.2489721119403839, + "num_tokens": 19486041.0, + "step": 10720 + }, + { + "entropy": 5.652674436569214, + "epoch": 9.214009454232919, + "grad_norm": 1.453125, + "learning_rate": 5.801762702208317e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.24531738311052323, + "num_tokens": 19495514.0, + "step": 10725 + }, + { + "entropy": 5.5886533737182615, + "epoch": 9.218306832831972, + "grad_norm": 1.4765625, + "learning_rate": 5.7929898529188215e-05, + "loss": 4.7238, + "mean_token_accuracy": 0.25462878197431565, + "num_tokens": 19503879.0, + "step": 10730 + }, + { + "entropy": 5.619577884674072, + "epoch": 9.222604211431028, + "grad_norm": 1.265625, + "learning_rate": 5.784264403063272e-05, + "loss": 4.7174, + "mean_token_accuracy": 0.25512780994176865, + "num_tokens": 19513922.0, + "step": 10735 + }, + { + "entropy": 5.601106023788452, + "epoch": 9.226901590030081, + "grad_norm": 1.5625, + "learning_rate": 5.775586371694561e-05, + "loss": 4.7573, + "mean_token_accuracy": 0.2493024155497551, + "num_tokens": 19522555.0, + "step": 10740 + }, + { + "entropy": 5.605829763412475, + "epoch": 9.231198968629137, + "grad_norm": 1.3046875, + "learning_rate": 5.7669557777620376e-05, + "loss": 4.7487, + "mean_token_accuracy": 0.25207943469285965, + "num_tokens": 19531245.0, + "step": 10745 + }, + { + "entropy": 5.604989385604858, + "epoch": 9.23549634722819, + "grad_norm": 1.46875, + "learning_rate": 5.7583726401114756e-05, + "loss": 4.713, + "mean_token_accuracy": 0.25506144762039185, + "num_tokens": 19540258.0, + "step": 10750 + }, + { + "entropy": 5.64974570274353, + "epoch": 9.239793725827246, + "grad_norm": 1.453125, + "learning_rate": 5.749836977485013e-05, + "loss": 4.7854, + "mean_token_accuracy": 0.24881967455148696, + "num_tokens": 19550071.0, + "step": 10755 + }, + { + "entropy": 5.593701410293579, + "epoch": 9.2440911044263, + "grad_norm": 1.3515625, + "learning_rate": 5.741348808521128e-05, + "loss": 4.7131, + "mean_token_accuracy": 0.2589977756142616, + "num_tokens": 19558972.0, + "step": 10760 + }, + { + "entropy": 5.649643993377685, + "epoch": 9.248388483025355, + "grad_norm": 1.4140625, + "learning_rate": 5.7329081517545846e-05, + "loss": 4.8102, + "mean_token_accuracy": 0.25246872156858446, + "num_tokens": 19568270.0, + "step": 10765 + }, + { + "entropy": 5.668751621246338, + "epoch": 9.252685861624409, + "grad_norm": 1.71875, + "learning_rate": 5.724515025616409e-05, + "loss": 4.7713, + "mean_token_accuracy": 0.2551438122987747, + "num_tokens": 19576726.0, + "step": 10770 + }, + { + "entropy": 5.6279136657714846, + "epoch": 9.256983240223464, + "grad_norm": 1.3828125, + "learning_rate": 5.716169448433832e-05, + "loss": 4.7687, + "mean_token_accuracy": 0.24954331517219544, + "num_tokens": 19586706.0, + "step": 10775 + }, + { + "entropy": 5.627971220016479, + "epoch": 9.261280618822518, + "grad_norm": 1.484375, + "learning_rate": 5.707871438430255e-05, + "loss": 4.7989, + "mean_token_accuracy": 0.2460992693901062, + "num_tokens": 19595370.0, + "step": 10780 + }, + { + "entropy": 5.626669549942017, + "epoch": 9.265577997421573, + "grad_norm": 1.5859375, + "learning_rate": 5.699621013725218e-05, + "loss": 4.8064, + "mean_token_accuracy": 0.25317208766937255, + "num_tokens": 19604134.0, + "step": 10785 + }, + { + "entropy": 5.5840527534484865, + "epoch": 9.269875376020627, + "grad_norm": 1.4296875, + "learning_rate": 5.691418192334352e-05, + "loss": 4.7339, + "mean_token_accuracy": 0.25829588919878005, + "num_tokens": 19612716.0, + "step": 10790 + }, + { + "entropy": 5.624117422103882, + "epoch": 9.274172754619682, + "grad_norm": 1.421875, + "learning_rate": 5.683262992169341e-05, + "loss": 4.8399, + "mean_token_accuracy": 0.24457038044929505, + "num_tokens": 19621850.0, + "step": 10795 + }, + { + "entropy": 5.592050504684448, + "epoch": 9.278470133218736, + "grad_norm": 1.390625, + "learning_rate": 5.675155431037876e-05, + "loss": 4.7706, + "mean_token_accuracy": 0.24704843759536743, + "num_tokens": 19630706.0, + "step": 10800 + }, + { + "entropy": 5.602861404418945, + "epoch": 9.282767511817791, + "grad_norm": 1.4609375, + "learning_rate": 5.6670955266436365e-05, + "loss": 4.7443, + "mean_token_accuracy": 0.2627954468131065, + "num_tokens": 19639364.0, + "step": 10805 + }, + { + "entropy": 5.675701236724853, + "epoch": 9.287064890416845, + "grad_norm": 1.4453125, + "learning_rate": 5.659083296586229e-05, + "loss": 4.7119, + "mean_token_accuracy": 0.254921193420887, + "num_tokens": 19647816.0, + "step": 10810 + }, + { + "entropy": 5.656910228729248, + "epoch": 9.2913622690159, + "grad_norm": 1.3125, + "learning_rate": 5.6511187583611663e-05, + "loss": 4.831, + "mean_token_accuracy": 0.25122607201337815, + "num_tokens": 19657136.0, + "step": 10815 + }, + { + "entropy": 5.676870679855346, + "epoch": 9.295659647614954, + "grad_norm": 1.5546875, + "learning_rate": 5.643201929359809e-05, + "loss": 4.7776, + "mean_token_accuracy": 0.25071688145399096, + "num_tokens": 19665676.0, + "step": 10820 + }, + { + "entropy": 5.65682954788208, + "epoch": 9.29995702621401, + "grad_norm": 1.625, + "learning_rate": 5.635332826869353e-05, + "loss": 4.7466, + "mean_token_accuracy": 0.2555884286761284, + "num_tokens": 19674415.0, + "step": 10825 + }, + { + "entropy": 5.601188468933105, + "epoch": 9.304254404813063, + "grad_norm": 1.375, + "learning_rate": 5.6275114680727716e-05, + "loss": 4.7557, + "mean_token_accuracy": 0.2584034129977226, + "num_tokens": 19684411.0, + "step": 10830 + }, + { + "entropy": 5.618824768066406, + "epoch": 9.308551783412119, + "grad_norm": 1.578125, + "learning_rate": 5.619737870048783e-05, + "loss": 4.7413, + "mean_token_accuracy": 0.2524507701396942, + "num_tokens": 19693192.0, + "step": 10835 + }, + { + "entropy": 5.558388423919678, + "epoch": 9.312849162011172, + "grad_norm": 1.46875, + "learning_rate": 5.612012049771823e-05, + "loss": 4.6273, + "mean_token_accuracy": 0.27150997519493103, + "num_tokens": 19701710.0, + "step": 10840 + }, + { + "entropy": 5.683209705352783, + "epoch": 9.317146540610228, + "grad_norm": 1.296875, + "learning_rate": 5.6043340241119924e-05, + "loss": 4.8429, + "mean_token_accuracy": 0.24387009292840958, + "num_tokens": 19710909.0, + "step": 10845 + }, + { + "entropy": 5.645463323593139, + "epoch": 9.321443919209282, + "grad_norm": 1.3671875, + "learning_rate": 5.596703809835033e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2493225336074829, + "num_tokens": 19720634.0, + "step": 10850 + }, + { + "entropy": 5.633423852920532, + "epoch": 9.325741297808337, + "grad_norm": 1.6953125, + "learning_rate": 5.589121423602277e-05, + "loss": 4.6914, + "mean_token_accuracy": 0.2628333792090416, + "num_tokens": 19729763.0, + "step": 10855 + }, + { + "entropy": 5.702880573272705, + "epoch": 9.33003867640739, + "grad_norm": 1.46875, + "learning_rate": 5.581586881970631e-05, + "loss": 4.8575, + "mean_token_accuracy": 0.24085617810487747, + "num_tokens": 19739065.0, + "step": 10860 + }, + { + "entropy": 5.560692501068115, + "epoch": 9.334336055006446, + "grad_norm": 1.390625, + "learning_rate": 5.574100201392522e-05, + "loss": 4.6758, + "mean_token_accuracy": 0.26179105788469315, + "num_tokens": 19748519.0, + "step": 10865 + }, + { + "entropy": 5.623036813735962, + "epoch": 9.338633433605501, + "grad_norm": 1.40625, + "learning_rate": 5.5666613982158665e-05, + "loss": 4.7412, + "mean_token_accuracy": 0.2588634729385376, + "num_tokens": 19757573.0, + "step": 10870 + }, + { + "entropy": 5.657954597473145, + "epoch": 9.342930812204555, + "grad_norm": 1.4375, + "learning_rate": 5.559270488684036e-05, + "loss": 4.8895, + "mean_token_accuracy": 0.23635072410106658, + "num_tokens": 19767534.0, + "step": 10875 + }, + { + "entropy": 5.691379356384277, + "epoch": 9.34722819080361, + "grad_norm": 1.3203125, + "learning_rate": 5.551927488935826e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.2456997498869896, + "num_tokens": 19776929.0, + "step": 10880 + }, + { + "entropy": 5.656087350845337, + "epoch": 9.351525569402664, + "grad_norm": 1.484375, + "learning_rate": 5.5446324150054086e-05, + "loss": 4.8121, + "mean_token_accuracy": 0.25415152609348296, + "num_tokens": 19785772.0, + "step": 10885 + }, + { + "entropy": 5.654774618148804, + "epoch": 9.35582294800172, + "grad_norm": 1.2265625, + "learning_rate": 5.537385282822315e-05, + "loss": 4.7974, + "mean_token_accuracy": 0.25373937338590624, + "num_tokens": 19796073.0, + "step": 10890 + }, + { + "entropy": 5.641226482391358, + "epoch": 9.360120326600773, + "grad_norm": 1.671875, + "learning_rate": 5.53018610821138e-05, + "loss": 4.7928, + "mean_token_accuracy": 0.25097259134054184, + "num_tokens": 19804511.0, + "step": 10895 + }, + { + "entropy": 5.687262010574341, + "epoch": 9.364417705199829, + "grad_norm": 1.4765625, + "learning_rate": 5.523034906892728e-05, + "loss": 4.8408, + "mean_token_accuracy": 0.2439215749502182, + "num_tokens": 19813348.0, + "step": 10900 + }, + { + "entropy": 5.699068069458008, + "epoch": 9.368715083798882, + "grad_norm": 1.4140625, + "learning_rate": 5.515931694481722e-05, + "loss": 4.8403, + "mean_token_accuracy": 0.2473944455385208, + "num_tokens": 19822390.0, + "step": 10905 + }, + { + "entropy": 5.716992425918579, + "epoch": 9.373012462397938, + "grad_norm": 1.421875, + "learning_rate": 5.508876486488936e-05, + "loss": 4.8561, + "mean_token_accuracy": 0.24376602172851564, + "num_tokens": 19832423.0, + "step": 10910 + }, + { + "entropy": 5.643907117843628, + "epoch": 9.377309840996991, + "grad_norm": 1.515625, + "learning_rate": 5.501869298320128e-05, + "loss": 4.7983, + "mean_token_accuracy": 0.24763839840888976, + "num_tokens": 19841271.0, + "step": 10915 + }, + { + "entropy": 5.6545130729675295, + "epoch": 9.381607219596047, + "grad_norm": 1.546875, + "learning_rate": 5.4949101452761995e-05, + "loss": 4.7958, + "mean_token_accuracy": 0.2506653919816017, + "num_tokens": 19850648.0, + "step": 10920 + }, + { + "entropy": 5.657913112640381, + "epoch": 9.3859045981951, + "grad_norm": 1.3203125, + "learning_rate": 5.4879990425531534e-05, + "loss": 4.7589, + "mean_token_accuracy": 0.2580998450517654, + "num_tokens": 19860102.0, + "step": 10925 + }, + { + "entropy": 5.674734878540039, + "epoch": 9.390201976794156, + "grad_norm": 1.3125, + "learning_rate": 5.4811360052420754e-05, + "loss": 4.8262, + "mean_token_accuracy": 0.24551165699958802, + "num_tokens": 19870008.0, + "step": 10930 + }, + { + "entropy": 5.629330062866211, + "epoch": 9.39449935539321, + "grad_norm": 1.234375, + "learning_rate": 5.4743210483290974e-05, + "loss": 4.7496, + "mean_token_accuracy": 0.25246907472610475, + "num_tokens": 19879452.0, + "step": 10935 + }, + { + "entropy": 5.713487863540649, + "epoch": 9.398796733992265, + "grad_norm": 1.3671875, + "learning_rate": 5.467554186695364e-05, + "loss": 4.8508, + "mean_token_accuracy": 0.2398130863904953, + "num_tokens": 19888956.0, + "step": 10940 + }, + { + "entropy": 5.65391993522644, + "epoch": 9.403094112591319, + "grad_norm": 1.375, + "learning_rate": 5.4608354351169944e-05, + "loss": 4.7862, + "mean_token_accuracy": 0.24949571192264558, + "num_tokens": 19897760.0, + "step": 10945 + }, + { + "entropy": 5.5948474407196045, + "epoch": 9.407391491190374, + "grad_norm": 1.5, + "learning_rate": 5.454164808265057e-05, + "loss": 4.7756, + "mean_token_accuracy": 0.25042637884616853, + "num_tokens": 19905692.0, + "step": 10950 + }, + { + "entropy": 5.596786975860596, + "epoch": 9.411688869789428, + "grad_norm": 1.453125, + "learning_rate": 5.447542320705532e-05, + "loss": 4.6944, + "mean_token_accuracy": 0.26209963411092757, + "num_tokens": 19914633.0, + "step": 10955 + }, + { + "entropy": 5.683409118652344, + "epoch": 9.415986248388483, + "grad_norm": 1.4921875, + "learning_rate": 5.440967986899289e-05, + "loss": 4.8065, + "mean_token_accuracy": 0.24011071175336837, + "num_tokens": 19922749.0, + "step": 10960 + }, + { + "entropy": 5.660010576248169, + "epoch": 9.420283626987537, + "grad_norm": 1.4453125, + "learning_rate": 5.434441821202042e-05, + "loss": 4.7322, + "mean_token_accuracy": 0.25771835893392564, + "num_tokens": 19931274.0, + "step": 10965 + }, + { + "entropy": 5.6490149974823, + "epoch": 9.424581005586592, + "grad_norm": 1.4765625, + "learning_rate": 5.42796383786433e-05, + "loss": 4.7765, + "mean_token_accuracy": 0.24860167354345322, + "num_tokens": 19940052.0, + "step": 10970 + }, + { + "entropy": 5.646113681793213, + "epoch": 9.428878384185646, + "grad_norm": 1.3359375, + "learning_rate": 5.4215340510314805e-05, + "loss": 4.7791, + "mean_token_accuracy": 0.247910475730896, + "num_tokens": 19948890.0, + "step": 10975 + }, + { + "entropy": 5.649462270736694, + "epoch": 9.433175762784701, + "grad_norm": 1.328125, + "learning_rate": 5.41515247474358e-05, + "loss": 4.8252, + "mean_token_accuracy": 0.2510902941226959, + "num_tokens": 19958158.0, + "step": 10980 + }, + { + "entropy": 5.700368213653564, + "epoch": 9.437473141383755, + "grad_norm": 1.3203125, + "learning_rate": 5.4088191229354306e-05, + "loss": 4.8708, + "mean_token_accuracy": 0.2423779547214508, + "num_tokens": 19967432.0, + "step": 10985 + }, + { + "entropy": 5.615607881546021, + "epoch": 9.44177051998281, + "grad_norm": 1.4140625, + "learning_rate": 5.402534009436552e-05, + "loss": 4.7574, + "mean_token_accuracy": 0.2512508645653725, + "num_tokens": 19977661.0, + "step": 10990 + }, + { + "entropy": 5.6874782085418705, + "epoch": 9.446067898581864, + "grad_norm": 1.4609375, + "learning_rate": 5.396297147971116e-05, + "loss": 4.8146, + "mean_token_accuracy": 0.24550059139728547, + "num_tokens": 19986359.0, + "step": 10995 + }, + { + "entropy": 5.6440185546875, + "epoch": 9.45036527718092, + "grad_norm": 1.3984375, + "learning_rate": 5.390108552157935e-05, + "loss": 4.734, + "mean_token_accuracy": 0.25735636949539187, + "num_tokens": 19994618.0, + "step": 11000 + }, + { + "epoch": 9.45036527718092, + "eval_entropy": 5.4661739087319585, + "eval_loss": 5.882833480834961, + "eval_mean_token_accuracy": 0.18411659976249342, + "eval_num_tokens": 19994618.0, + "eval_runtime": 2.0463, + "eval_samples_per_second": 1734.317, + "eval_steps_per_second": 216.973, + "step": 11000 + }, + { + "entropy": 5.659858560562133, + "epoch": 9.454662655779973, + "grad_norm": 1.3984375, + "learning_rate": 5.383968235510427e-05, + "loss": 4.8322, + "mean_token_accuracy": 0.2516154408454895, + "num_tokens": 20004050.0, + "step": 11005 + }, + { + "entropy": 5.622915983200073, + "epoch": 9.458960034379029, + "grad_norm": 1.4296875, + "learning_rate": 5.377876211436592e-05, + "loss": 4.7684, + "mean_token_accuracy": 0.2524562880396843, + "num_tokens": 20013480.0, + "step": 11010 + }, + { + "entropy": 5.733402347564697, + "epoch": 9.463257412978084, + "grad_norm": 1.59375, + "learning_rate": 5.371832493238973e-05, + "loss": 4.8484, + "mean_token_accuracy": 0.24426155537366867, + "num_tokens": 20022133.0, + "step": 11015 + }, + { + "entropy": 5.587588977813721, + "epoch": 9.467554791577138, + "grad_norm": 1.4375, + "learning_rate": 5.365837094114639e-05, + "loss": 4.737, + "mean_token_accuracy": 0.255278055369854, + "num_tokens": 20031462.0, + "step": 11020 + }, + { + "entropy": 5.685597229003906, + "epoch": 9.471852170176193, + "grad_norm": 1.5, + "learning_rate": 5.3598900271551396e-05, + "loss": 4.8577, + "mean_token_accuracy": 0.24156038761138915, + "num_tokens": 20042055.0, + "step": 11025 + }, + { + "entropy": 5.629064464569092, + "epoch": 9.476149548775247, + "grad_norm": 1.2578125, + "learning_rate": 5.353991305346499e-05, + "loss": 4.7797, + "mean_token_accuracy": 0.24861287474632263, + "num_tokens": 20051379.0, + "step": 11030 + }, + { + "entropy": 5.596753263473511, + "epoch": 9.480446927374302, + "grad_norm": 1.4609375, + "learning_rate": 5.348140941569165e-05, + "loss": 4.7122, + "mean_token_accuracy": 0.26016455739736555, + "num_tokens": 20060289.0, + "step": 11035 + }, + { + "entropy": 5.602110958099365, + "epoch": 9.484744305973356, + "grad_norm": 1.40625, + "learning_rate": 5.342338948597989e-05, + "loss": 4.7386, + "mean_token_accuracy": 0.25520058423280717, + "num_tokens": 20070133.0, + "step": 11040 + }, + { + "entropy": 5.652761363983155, + "epoch": 9.489041684572411, + "grad_norm": 1.4609375, + "learning_rate": 5.336585339102209e-05, + "loss": 4.7796, + "mean_token_accuracy": 0.25094655752182005, + "num_tokens": 20078384.0, + "step": 11045 + }, + { + "entropy": 5.54692063331604, + "epoch": 9.493339063171465, + "grad_norm": 1.453125, + "learning_rate": 5.33088012564541e-05, + "loss": 4.7064, + "mean_token_accuracy": 0.2593804582953453, + "num_tokens": 20087116.0, + "step": 11050 + }, + { + "entropy": 5.525764131546021, + "epoch": 9.49763644177052, + "grad_norm": 1.4375, + "learning_rate": 5.3252233206854955e-05, + "loss": 4.6844, + "mean_token_accuracy": 0.2625924780964851, + "num_tokens": 20096918.0, + "step": 11055 + }, + { + "entropy": 5.657556390762329, + "epoch": 9.501933820369574, + "grad_norm": 1.421875, + "learning_rate": 5.3196149365746656e-05, + "loss": 4.8704, + "mean_token_accuracy": 0.2475408360362053, + "num_tokens": 20107602.0, + "step": 11060 + }, + { + "entropy": 5.579683017730713, + "epoch": 9.50623119896863, + "grad_norm": 1.3046875, + "learning_rate": 5.31405498555939e-05, + "loss": 4.7345, + "mean_token_accuracy": 0.25721548944711686, + "num_tokens": 20117732.0, + "step": 11065 + }, + { + "entropy": 5.711687660217285, + "epoch": 9.510528577567683, + "grad_norm": 1.328125, + "learning_rate": 5.308543479780384e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.23259128481149674, + "num_tokens": 20127765.0, + "step": 11070 + }, + { + "entropy": 5.6711039543151855, + "epoch": 9.514825956166739, + "grad_norm": 1.4453125, + "learning_rate": 5.303080431272567e-05, + "loss": 4.8563, + "mean_token_accuracy": 0.24667593389749526, + "num_tokens": 20137135.0, + "step": 11075 + }, + { + "entropy": 5.610913515090942, + "epoch": 9.519123334765792, + "grad_norm": 1.5390625, + "learning_rate": 5.297665851965055e-05, + "loss": 4.7876, + "mean_token_accuracy": 0.24854191541671752, + "num_tokens": 20146156.0, + "step": 11080 + }, + { + "entropy": 5.655600214004517, + "epoch": 9.523420713364848, + "grad_norm": 1.6171875, + "learning_rate": 5.292299753681129e-05, + "loss": 4.7903, + "mean_token_accuracy": 0.25051039457321167, + "num_tokens": 20154433.0, + "step": 11085 + }, + { + "entropy": 5.645228624343872, + "epoch": 9.527718091963902, + "grad_norm": 1.3828125, + "learning_rate": 5.286982148138196e-05, + "loss": 4.7636, + "mean_token_accuracy": 0.253564678132534, + "num_tokens": 20164209.0, + "step": 11090 + }, + { + "entropy": 5.649822092056274, + "epoch": 9.532015470562957, + "grad_norm": 1.4375, + "learning_rate": 5.281713046947787e-05, + "loss": 4.7729, + "mean_token_accuracy": 0.24183453619480133, + "num_tokens": 20173116.0, + "step": 11095 + }, + { + "entropy": 5.709951972961425, + "epoch": 9.53631284916201, + "grad_norm": 1.5390625, + "learning_rate": 5.2764924616155116e-05, + "loss": 4.8596, + "mean_token_accuracy": 0.24584992378950118, + "num_tokens": 20182933.0, + "step": 11100 + }, + { + "entropy": 5.630789375305175, + "epoch": 9.540610227761066, + "grad_norm": 1.6796875, + "learning_rate": 5.271320403541038e-05, + "loss": 4.74, + "mean_token_accuracy": 0.25479953438043595, + "num_tokens": 20191899.0, + "step": 11105 + }, + { + "entropy": 5.650143051147461, + "epoch": 9.54490760636012, + "grad_norm": 1.4453125, + "learning_rate": 5.266196884018081e-05, + "loss": 4.7935, + "mean_token_accuracy": 0.25023754984140395, + "num_tokens": 20201108.0, + "step": 11110 + }, + { + "entropy": 5.612443971633911, + "epoch": 9.549204984959175, + "grad_norm": 1.4609375, + "learning_rate": 5.2611219142343494e-05, + "loss": 4.7849, + "mean_token_accuracy": 0.2484399139881134, + "num_tokens": 20209137.0, + "step": 11115 + }, + { + "entropy": 5.575851345062256, + "epoch": 9.553502363558229, + "grad_norm": 1.3515625, + "learning_rate": 5.2560955052715574e-05, + "loss": 4.684, + "mean_token_accuracy": 0.25690483301877975, + "num_tokens": 20217879.0, + "step": 11120 + }, + { + "entropy": 5.636340522766114, + "epoch": 9.557799742157284, + "grad_norm": 1.4609375, + "learning_rate": 5.2511176681053704e-05, + "loss": 4.7703, + "mean_token_accuracy": 0.25021136105060576, + "num_tokens": 20226783.0, + "step": 11125 + }, + { + "entropy": 5.640555143356323, + "epoch": 9.562097120756338, + "grad_norm": 1.4375, + "learning_rate": 5.246188413605393e-05, + "loss": 4.7858, + "mean_token_accuracy": 0.2479167178273201, + "num_tokens": 20235008.0, + "step": 11130 + }, + { + "entropy": 5.624492883682251, + "epoch": 9.566394499355393, + "grad_norm": 1.4765625, + "learning_rate": 5.241307752535149e-05, + "loss": 4.6869, + "mean_token_accuracy": 0.2625169694423676, + "num_tokens": 20243157.0, + "step": 11135 + }, + { + "entropy": 5.616971254348755, + "epoch": 9.570691877954447, + "grad_norm": 1.375, + "learning_rate": 5.236475695552052e-05, + "loss": 4.7482, + "mean_token_accuracy": 0.25295512080192567, + "num_tokens": 20251548.0, + "step": 11140 + }, + { + "entropy": 5.573141384124756, + "epoch": 9.574989256553502, + "grad_norm": 1.546875, + "learning_rate": 5.2316922532073796e-05, + "loss": 4.659, + "mean_token_accuracy": 0.26318345218896866, + "num_tokens": 20260954.0, + "step": 11145 + }, + { + "entropy": 5.707438850402832, + "epoch": 9.579286635152556, + "grad_norm": 1.4765625, + "learning_rate": 5.226957435946265e-05, + "loss": 4.8741, + "mean_token_accuracy": 0.23904298692941667, + "num_tokens": 20269976.0, + "step": 11150 + }, + { + "entropy": 5.651593017578125, + "epoch": 9.583584013751612, + "grad_norm": 1.4375, + "learning_rate": 5.2222712541076464e-05, + "loss": 4.8362, + "mean_token_accuracy": 0.2450185090303421, + "num_tokens": 20279824.0, + "step": 11155 + }, + { + "entropy": 5.653690195083618, + "epoch": 9.587881392350667, + "grad_norm": 1.4609375, + "learning_rate": 5.217633717924282e-05, + "loss": 4.7696, + "mean_token_accuracy": 0.26532009840011594, + "num_tokens": 20289284.0, + "step": 11160 + }, + { + "entropy": 5.65428581237793, + "epoch": 9.59217877094972, + "grad_norm": 1.2734375, + "learning_rate": 5.213044837522689e-05, + "loss": 4.721, + "mean_token_accuracy": 0.262369267642498, + "num_tokens": 20297905.0, + "step": 11165 + }, + { + "entropy": 5.611086177825928, + "epoch": 9.596476149548776, + "grad_norm": 1.4609375, + "learning_rate": 5.208504622923154e-05, + "loss": 4.7362, + "mean_token_accuracy": 0.2587092310190201, + "num_tokens": 20307219.0, + "step": 11170 + }, + { + "entropy": 5.623517179489136, + "epoch": 9.60077352814783, + "grad_norm": 1.4921875, + "learning_rate": 5.204013084039687e-05, + "loss": 4.7823, + "mean_token_accuracy": 0.2503692626953125, + "num_tokens": 20316369.0, + "step": 11175 + }, + { + "entropy": 5.622481441497802, + "epoch": 9.605070906746885, + "grad_norm": 1.5390625, + "learning_rate": 5.199570230680017e-05, + "loss": 4.7574, + "mean_token_accuracy": 0.2528963088989258, + "num_tokens": 20325764.0, + "step": 11180 + }, + { + "entropy": 5.697538805007935, + "epoch": 9.609368285345939, + "grad_norm": 1.421875, + "learning_rate": 5.19517607254556e-05, + "loss": 4.8389, + "mean_token_accuracy": 0.24330864548683168, + "num_tokens": 20334671.0, + "step": 11185 + }, + { + "entropy": 5.629094791412354, + "epoch": 9.613665663944994, + "grad_norm": 1.46875, + "learning_rate": 5.190830619231397e-05, + "loss": 4.8041, + "mean_token_accuracy": 0.24563638269901275, + "num_tokens": 20343585.0, + "step": 11190 + }, + { + "entropy": 5.619398355484009, + "epoch": 9.617963042544048, + "grad_norm": 1.453125, + "learning_rate": 5.186533880226263e-05, + "loss": 4.7431, + "mean_token_accuracy": 0.2571689531207085, + "num_tokens": 20352569.0, + "step": 11195 + }, + { + "entropy": 5.643133020401001, + "epoch": 9.622260421143103, + "grad_norm": 1.5546875, + "learning_rate": 5.1822858649125197e-05, + "loss": 4.7987, + "mean_token_accuracy": 0.24488139748573304, + "num_tokens": 20361479.0, + "step": 11200 + }, + { + "entropy": 5.702621603012085, + "epoch": 9.626557799742157, + "grad_norm": 1.546875, + "learning_rate": 5.178086582566134e-05, + "loss": 4.8355, + "mean_token_accuracy": 0.24582064300775527, + "num_tokens": 20370286.0, + "step": 11205 + }, + { + "entropy": 5.618520736694336, + "epoch": 9.630855178341212, + "grad_norm": 1.4453125, + "learning_rate": 5.1739360423566596e-05, + "loss": 4.8148, + "mean_token_accuracy": 0.24465181976556777, + "num_tokens": 20379253.0, + "step": 11210 + }, + { + "entropy": 5.622318935394287, + "epoch": 9.635152556940266, + "grad_norm": 1.453125, + "learning_rate": 5.16983425334722e-05, + "loss": 4.7522, + "mean_token_accuracy": 0.24978899955749512, + "num_tokens": 20387796.0, + "step": 11215 + }, + { + "entropy": 5.629397249221801, + "epoch": 9.639449935539322, + "grad_norm": 1.453125, + "learning_rate": 5.1657812244944796e-05, + "loss": 4.7111, + "mean_token_accuracy": 0.2518982455134392, + "num_tokens": 20396209.0, + "step": 11220 + }, + { + "entropy": 5.693726253509522, + "epoch": 9.643747314138375, + "grad_norm": 1.4765625, + "learning_rate": 5.1617769646486344e-05, + "loss": 4.8492, + "mean_token_accuracy": 0.24990911781787872, + "num_tokens": 20405102.0, + "step": 11225 + }, + { + "entropy": 5.692820119857788, + "epoch": 9.64804469273743, + "grad_norm": 1.3046875, + "learning_rate": 5.157821482553389e-05, + "loss": 4.9092, + "mean_token_accuracy": 0.2370424747467041, + "num_tokens": 20415126.0, + "step": 11230 + }, + { + "entropy": 5.661749172210693, + "epoch": 9.652342071336484, + "grad_norm": 1.4921875, + "learning_rate": 5.153914786845932e-05, + "loss": 4.818, + "mean_token_accuracy": 0.2480069264769554, + "num_tokens": 20424166.0, + "step": 11235 + }, + { + "entropy": 5.575618267059326, + "epoch": 9.65663944993554, + "grad_norm": 1.6875, + "learning_rate": 5.1500568860569285e-05, + "loss": 4.6445, + "mean_token_accuracy": 0.26594655215740204, + "num_tokens": 20431984.0, + "step": 11240 + }, + { + "entropy": 5.574884748458862, + "epoch": 9.660936828534593, + "grad_norm": 1.53125, + "learning_rate": 5.1462477886104904e-05, + "loss": 4.7064, + "mean_token_accuracy": 0.2591560423374176, + "num_tokens": 20440923.0, + "step": 11245 + }, + { + "entropy": 5.624132966995239, + "epoch": 9.665234207133649, + "grad_norm": 1.5859375, + "learning_rate": 5.1424875028241625e-05, + "loss": 4.7367, + "mean_token_accuracy": 0.24782251417636872, + "num_tokens": 20449525.0, + "step": 11250 + }, + { + "entropy": 5.660547685623169, + "epoch": 9.669531585732702, + "grad_norm": 1.3046875, + "learning_rate": 5.138776036908911e-05, + "loss": 4.8112, + "mean_token_accuracy": 0.25246207118034364, + "num_tokens": 20459193.0, + "step": 11255 + }, + { + "entropy": 5.639756917953491, + "epoch": 9.673828964331758, + "grad_norm": 1.6328125, + "learning_rate": 5.135113398969091e-05, + "loss": 4.7594, + "mean_token_accuracy": 0.24905567318201066, + "num_tokens": 20467564.0, + "step": 11260 + }, + { + "entropy": 5.703488731384278, + "epoch": 9.678126342930812, + "grad_norm": 1.421875, + "learning_rate": 5.131499597002437e-05, + "loss": 4.8746, + "mean_token_accuracy": 0.2473714679479599, + "num_tokens": 20476573.0, + "step": 11265 + }, + { + "entropy": 5.6513889789581295, + "epoch": 9.682423721529867, + "grad_norm": 1.4296875, + "learning_rate": 5.12793463890005e-05, + "loss": 4.8113, + "mean_token_accuracy": 0.2503967732191086, + "num_tokens": 20486788.0, + "step": 11270 + }, + { + "entropy": 5.6483711242675785, + "epoch": 9.68672110012892, + "grad_norm": 1.3046875, + "learning_rate": 5.124418532446376e-05, + "loss": 4.8455, + "mean_token_accuracy": 0.23826995640993118, + "num_tokens": 20495982.0, + "step": 11275 + }, + { + "entropy": 5.685800075531006, + "epoch": 9.691018478727976, + "grad_norm": 1.390625, + "learning_rate": 5.120951285319187e-05, + "loss": 4.8508, + "mean_token_accuracy": 0.24039490073919295, + "num_tokens": 20504678.0, + "step": 11280 + }, + { + "entropy": 5.6086170196533205, + "epoch": 9.69531585732703, + "grad_norm": 1.53125, + "learning_rate": 5.1175329050895584e-05, + "loss": 4.6919, + "mean_token_accuracy": 0.2570186793804169, + "num_tokens": 20513362.0, + "step": 11285 + }, + { + "entropy": 5.623786163330078, + "epoch": 9.699613235926085, + "grad_norm": 1.4296875, + "learning_rate": 5.114163399221871e-05, + "loss": 4.8276, + "mean_token_accuracy": 0.24475472122430803, + "num_tokens": 20522280.0, + "step": 11290 + }, + { + "entropy": 5.6047193050384525, + "epoch": 9.703910614525139, + "grad_norm": 1.5546875, + "learning_rate": 5.110842775073778e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.2570575699210167, + "num_tokens": 20531175.0, + "step": 11295 + }, + { + "entropy": 5.611165571212768, + "epoch": 9.708207993124194, + "grad_norm": 1.375, + "learning_rate": 5.107571039896196e-05, + "loss": 4.8011, + "mean_token_accuracy": 0.24260985106229782, + "num_tokens": 20540592.0, + "step": 11300 + }, + { + "entropy": 5.717087841033935, + "epoch": 9.71250537172325, + "grad_norm": 1.5390625, + "learning_rate": 5.1043482008332864e-05, + "loss": 4.8867, + "mean_token_accuracy": 0.2418668359518051, + "num_tokens": 20549963.0, + "step": 11305 + }, + { + "entropy": 5.621548080444336, + "epoch": 9.716802750322303, + "grad_norm": 1.34375, + "learning_rate": 5.1011742649224394e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.25661737024784087, + "num_tokens": 20558928.0, + "step": 11310 + }, + { + "entropy": 5.607663822174072, + "epoch": 9.721100128921359, + "grad_norm": 1.625, + "learning_rate": 5.098049239094267e-05, + "loss": 4.682, + "mean_token_accuracy": 0.25437158197164533, + "num_tokens": 20566483.0, + "step": 11315 + }, + { + "entropy": 5.666921663284302, + "epoch": 9.725397507520412, + "grad_norm": 1.4765625, + "learning_rate": 5.094973130172573e-05, + "loss": 4.7839, + "mean_token_accuracy": 0.24927501380443573, + "num_tokens": 20575349.0, + "step": 11320 + }, + { + "entropy": 5.682584810256958, + "epoch": 9.729694886119468, + "grad_norm": 1.5234375, + "learning_rate": 5.09194594487435e-05, + "loss": 4.8006, + "mean_token_accuracy": 0.2473174586892128, + "num_tokens": 20584235.0, + "step": 11325 + }, + { + "entropy": 5.583393573760986, + "epoch": 9.733992264718522, + "grad_norm": 1.5546875, + "learning_rate": 5.088967689809763e-05, + "loss": 4.7248, + "mean_token_accuracy": 0.25419015288352964, + "num_tokens": 20593705.0, + "step": 11330 + }, + { + "entropy": 5.6596780776977536, + "epoch": 9.738289643317577, + "grad_norm": 1.234375, + "learning_rate": 5.086038371482128e-05, + "loss": 4.825, + "mean_token_accuracy": 0.25288843363523483, + "num_tokens": 20603886.0, + "step": 11335 + }, + { + "entropy": 5.491651773452759, + "epoch": 9.74258702191663, + "grad_norm": 1.390625, + "learning_rate": 5.0831579962879074e-05, + "loss": 4.6572, + "mean_token_accuracy": 0.26912386566400526, + "num_tokens": 20613181.0, + "step": 11340 + }, + { + "entropy": 5.649355173110962, + "epoch": 9.746884400515686, + "grad_norm": 1.5, + "learning_rate": 5.080326570516686e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.2511239215731621, + "num_tokens": 20620938.0, + "step": 11345 + }, + { + "entropy": 5.694200468063355, + "epoch": 9.75118177911474, + "grad_norm": 1.359375, + "learning_rate": 5.077544100351172e-05, + "loss": 4.8779, + "mean_token_accuracy": 0.23636120855808257, + "num_tokens": 20630992.0, + "step": 11350 + }, + { + "entropy": 5.713483667373657, + "epoch": 9.755479157713795, + "grad_norm": 1.53125, + "learning_rate": 5.0748105918671616e-05, + "loss": 4.8927, + "mean_token_accuracy": 0.2489745020866394, + "num_tokens": 20640543.0, + "step": 11355 + }, + { + "entropy": 5.648331212997436, + "epoch": 9.759776536312849, + "grad_norm": 1.3984375, + "learning_rate": 5.072126051033551e-05, + "loss": 4.7998, + "mean_token_accuracy": 0.24586018174886703, + "num_tokens": 20649814.0, + "step": 11360 + }, + { + "entropy": 5.663990640640259, + "epoch": 9.764073914911904, + "grad_norm": 1.4296875, + "learning_rate": 5.069490483712298e-05, + "loss": 4.8085, + "mean_token_accuracy": 0.2565313339233398, + "num_tokens": 20658215.0, + "step": 11365 + }, + { + "entropy": 5.66822190284729, + "epoch": 9.768371293510958, + "grad_norm": 1.3828125, + "learning_rate": 5.066903895658433e-05, + "loss": 4.7866, + "mean_token_accuracy": 0.2542292311787605, + "num_tokens": 20667412.0, + "step": 11370 + }, + { + "entropy": 5.650898599624634, + "epoch": 9.772668672110013, + "grad_norm": 1.5078125, + "learning_rate": 5.064366292520028e-05, + "loss": 4.8, + "mean_token_accuracy": 0.24360747188329696, + "num_tokens": 20676366.0, + "step": 11375 + }, + { + "entropy": 5.709493207931518, + "epoch": 9.776966050709067, + "grad_norm": 1.2890625, + "learning_rate": 5.061877679838192e-05, + "loss": 4.9026, + "mean_token_accuracy": 0.23420629501342774, + "num_tokens": 20686872.0, + "step": 11380 + }, + { + "entropy": 5.6564898014068605, + "epoch": 9.781263429308122, + "grad_norm": 1.515625, + "learning_rate": 5.059438063047066e-05, + "loss": 4.7342, + "mean_token_accuracy": 0.2545543238520622, + "num_tokens": 20695162.0, + "step": 11385 + }, + { + "entropy": 5.647177982330322, + "epoch": 9.785560807907176, + "grad_norm": 1.359375, + "learning_rate": 5.057047447473796e-05, + "loss": 4.7741, + "mean_token_accuracy": 0.24988951534032822, + "num_tokens": 20703897.0, + "step": 11390 + }, + { + "entropy": 5.573124599456787, + "epoch": 9.789858186506232, + "grad_norm": 1.390625, + "learning_rate": 5.054705838338529e-05, + "loss": 4.7305, + "mean_token_accuracy": 0.25603497624397276, + "num_tokens": 20712115.0, + "step": 11395 + }, + { + "entropy": 5.58337926864624, + "epoch": 9.794155565105285, + "grad_norm": 1.3984375, + "learning_rate": 5.052413240754404e-05, + "loss": 4.733, + "mean_token_accuracy": 0.25425832718610764, + "num_tokens": 20721073.0, + "step": 11400 + }, + { + "entropy": 5.646140146255493, + "epoch": 9.79845294370434, + "grad_norm": 1.2890625, + "learning_rate": 5.0501696597275376e-05, + "loss": 4.7743, + "mean_token_accuracy": 0.24980906248092652, + "num_tokens": 20731370.0, + "step": 11405 + }, + { + "entropy": 5.649660873413086, + "epoch": 9.802750322303394, + "grad_norm": 1.4765625, + "learning_rate": 5.047975100157018e-05, + "loss": 4.8259, + "mean_token_accuracy": 0.24879364669322968, + "num_tokens": 20740744.0, + "step": 11410 + }, + { + "entropy": 5.630423450469971, + "epoch": 9.80704770090245, + "grad_norm": 1.375, + "learning_rate": 5.045829566834879e-05, + "loss": 4.7828, + "mean_token_accuracy": 0.2567125052213669, + "num_tokens": 20749838.0, + "step": 11415 + }, + { + "entropy": 5.642637586593628, + "epoch": 9.811345079501503, + "grad_norm": 1.3046875, + "learning_rate": 5.043733064446113e-05, + "loss": 4.7148, + "mean_token_accuracy": 0.26176913231611254, + "num_tokens": 20759689.0, + "step": 11420 + }, + { + "entropy": 5.637742042541504, + "epoch": 9.815642458100559, + "grad_norm": 1.546875, + "learning_rate": 5.041685597568641e-05, + "loss": 4.7516, + "mean_token_accuracy": 0.2548555374145508, + "num_tokens": 20769234.0, + "step": 11425 + }, + { + "entropy": 5.6450474739074705, + "epoch": 9.819939836699612, + "grad_norm": 1.390625, + "learning_rate": 5.039687170673315e-05, + "loss": 4.8278, + "mean_token_accuracy": 0.25093297064304354, + "num_tokens": 20778794.0, + "step": 11430 + }, + { + "entropy": 5.656610298156738, + "epoch": 9.824237215298668, + "grad_norm": 1.4296875, + "learning_rate": 5.037737788123895e-05, + "loss": 4.7697, + "mean_token_accuracy": 0.24846816807985306, + "num_tokens": 20788327.0, + "step": 11435 + }, + { + "entropy": 5.673328161239624, + "epoch": 9.828534593897722, + "grad_norm": 1.375, + "learning_rate": 5.03583745417706e-05, + "loss": 4.8091, + "mean_token_accuracy": 0.2541452869772911, + "num_tokens": 20797161.0, + "step": 11440 + }, + { + "entropy": 5.717051362991333, + "epoch": 9.832831972496777, + "grad_norm": 1.375, + "learning_rate": 5.033986172982375e-05, + "loss": 4.8706, + "mean_token_accuracy": 0.24515803754329682, + "num_tokens": 20806264.0, + "step": 11445 + }, + { + "entropy": 5.6528173923492435, + "epoch": 9.837129351095832, + "grad_norm": 1.4375, + "learning_rate": 5.0321839485823014e-05, + "loss": 4.829, + "mean_token_accuracy": 0.2445735216140747, + "num_tokens": 20815569.0, + "step": 11450 + }, + { + "entropy": 5.713804626464844, + "epoch": 9.841426729694886, + "grad_norm": 1.46875, + "learning_rate": 5.030430784912177e-05, + "loss": 4.8996, + "mean_token_accuracy": 0.23994259387254716, + "num_tokens": 20825234.0, + "step": 11455 + }, + { + "entropy": 5.5915292263031, + "epoch": 9.845724108293942, + "grad_norm": 1.4609375, + "learning_rate": 5.0287266858002054e-05, + "loss": 4.7611, + "mean_token_accuracy": 0.2517869219183922, + "num_tokens": 20834601.0, + "step": 11460 + }, + { + "entropy": 5.666462707519531, + "epoch": 9.850021486892995, + "grad_norm": 1.265625, + "learning_rate": 5.027071654967465e-05, + "loss": 4.7808, + "mean_token_accuracy": 0.25927551090717316, + "num_tokens": 20843686.0, + "step": 11465 + }, + { + "entropy": 5.651755857467651, + "epoch": 9.85431886549205, + "grad_norm": 1.4453125, + "learning_rate": 5.025465696027875e-05, + "loss": 4.7879, + "mean_token_accuracy": 0.25643584728240965, + "num_tokens": 20852009.0, + "step": 11470 + }, + { + "entropy": 5.645906925201416, + "epoch": 9.858616244091104, + "grad_norm": 1.4296875, + "learning_rate": 5.023908812488211e-05, + "loss": 4.7539, + "mean_token_accuracy": 0.25380629152059553, + "num_tokens": 20861241.0, + "step": 11475 + }, + { + "entropy": 5.654606008529663, + "epoch": 9.86291362269016, + "grad_norm": 1.3046875, + "learning_rate": 5.022401007748087e-05, + "loss": 4.8146, + "mean_token_accuracy": 0.24114521145820617, + "num_tokens": 20869774.0, + "step": 11480 + }, + { + "entropy": 5.640413856506347, + "epoch": 9.867211001289213, + "grad_norm": 1.4765625, + "learning_rate": 5.0209422850999414e-05, + "loss": 4.8155, + "mean_token_accuracy": 0.24895236790180206, + "num_tokens": 20878844.0, + "step": 11485 + }, + { + "entropy": 5.6264293670654295, + "epoch": 9.871508379888269, + "grad_norm": 1.3671875, + "learning_rate": 5.019532647729046e-05, + "loss": 4.8131, + "mean_token_accuracy": 0.24811711311340331, + "num_tokens": 20888054.0, + "step": 11490 + }, + { + "entropy": 5.655476331710815, + "epoch": 9.875805758487322, + "grad_norm": 1.234375, + "learning_rate": 5.0181720987134815e-05, + "loss": 4.7865, + "mean_token_accuracy": 0.24855260103940963, + "num_tokens": 20897752.0, + "step": 11495 + }, + { + "entropy": 5.549111795425415, + "epoch": 9.880103137086378, + "grad_norm": 1.5625, + "learning_rate": 5.016860641024143e-05, + "loss": 4.6743, + "mean_token_accuracy": 0.26256232261657714, + "num_tokens": 20906186.0, + "step": 11500 + }, + { + "epoch": 9.880103137086378, + "eval_entropy": 5.467424088233226, + "eval_loss": 5.883642196655273, + "eval_mean_token_accuracy": 0.18433019540666998, + "eval_num_tokens": 20906186.0, + "eval_runtime": 2.0592, + "eval_samples_per_second": 1723.464, + "eval_steps_per_second": 215.615, + "step": 11500 + }, + { + "entropy": 5.6926758766174315, + "epoch": 9.884400515685432, + "grad_norm": 1.53125, + "learning_rate": 5.01559827752473e-05, + "loss": 4.819, + "mean_token_accuracy": 0.2499034434556961, + "num_tokens": 20915172.0, + "step": 11505 + }, + { + "entropy": 5.629436397552491, + "epoch": 9.888697894284487, + "grad_norm": 1.515625, + "learning_rate": 5.0143850109717434e-05, + "loss": 4.7401, + "mean_token_accuracy": 0.2529207319021225, + "num_tokens": 20923886.0, + "step": 11510 + }, + { + "entropy": 5.5893772602081295, + "epoch": 9.89299527288354, + "grad_norm": 1.46875, + "learning_rate": 5.013220844014469e-05, + "loss": 4.6658, + "mean_token_accuracy": 0.2638197898864746, + "num_tokens": 20932216.0, + "step": 11515 + }, + { + "entropy": 5.600263929367065, + "epoch": 9.897292651482596, + "grad_norm": 1.3125, + "learning_rate": 5.012105779194985e-05, + "loss": 4.7372, + "mean_token_accuracy": 0.2603408947587013, + "num_tokens": 20941389.0, + "step": 11520 + }, + { + "entropy": 5.69518084526062, + "epoch": 9.90159003008165, + "grad_norm": 1.421875, + "learning_rate": 5.011039818948144e-05, + "loss": 4.8839, + "mean_token_accuracy": 0.2446398988366127, + "num_tokens": 20950813.0, + "step": 11525 + }, + { + "entropy": 5.642158365249633, + "epoch": 9.905887408680705, + "grad_norm": 1.4140625, + "learning_rate": 5.010022965601579e-05, + "loss": 4.7781, + "mean_token_accuracy": 0.24645417779684067, + "num_tokens": 20959298.0, + "step": 11530 + }, + { + "entropy": 5.5914136409759525, + "epoch": 9.910184787279759, + "grad_norm": 1.59375, + "learning_rate": 5.009055221375689e-05, + "loss": 4.7917, + "mean_token_accuracy": 0.2474410593509674, + "num_tokens": 20968400.0, + "step": 11535 + }, + { + "entropy": 5.605838108062744, + "epoch": 9.914482165878814, + "grad_norm": 1.53125, + "learning_rate": 5.0081365883836436e-05, + "loss": 4.7408, + "mean_token_accuracy": 0.2575462058186531, + "num_tokens": 20977247.0, + "step": 11540 + }, + { + "entropy": 5.661429786682129, + "epoch": 9.918779544477868, + "grad_norm": 1.59375, + "learning_rate": 5.0072670686313715e-05, + "loss": 4.7661, + "mean_token_accuracy": 0.2477546900510788, + "num_tokens": 20985363.0, + "step": 11545 + }, + { + "entropy": 5.677700567245483, + "epoch": 9.923076923076923, + "grad_norm": 1.4609375, + "learning_rate": 5.0064466640175496e-05, + "loss": 4.8399, + "mean_token_accuracy": 0.23960621953010558, + "num_tokens": 20994728.0, + "step": 11550 + }, + { + "entropy": 5.635366678237915, + "epoch": 9.927374301675977, + "grad_norm": 1.3828125, + "learning_rate": 5.0056753763336215e-05, + "loss": 4.7367, + "mean_token_accuracy": 0.2466922178864479, + "num_tokens": 21003801.0, + "step": 11555 + }, + { + "entropy": 5.615564823150635, + "epoch": 9.931671680275032, + "grad_norm": 1.5234375, + "learning_rate": 5.0049532072637646e-05, + "loss": 4.697, + "mean_token_accuracy": 0.2589203715324402, + "num_tokens": 21013245.0, + "step": 11560 + }, + { + "entropy": 5.573273658752441, + "epoch": 9.935969058874086, + "grad_norm": 1.4765625, + "learning_rate": 5.004280158384913e-05, + "loss": 4.6886, + "mean_token_accuracy": 0.256246280670166, + "num_tokens": 21021376.0, + "step": 11565 + }, + { + "entropy": 5.662373495101929, + "epoch": 9.940266437473142, + "grad_norm": 1.3515625, + "learning_rate": 5.0036562311667315e-05, + "loss": 4.8179, + "mean_token_accuracy": 0.23978692442178726, + "num_tokens": 21030538.0, + "step": 11570 + }, + { + "entropy": 5.698316621780395, + "epoch": 9.944563816072195, + "grad_norm": 1.296875, + "learning_rate": 5.0030814269716304e-05, + "loss": 4.8299, + "mean_token_accuracy": 0.23944624960422517, + "num_tokens": 21040274.0, + "step": 11575 + }, + { + "entropy": 5.662715864181519, + "epoch": 9.94886119467125, + "grad_norm": 1.453125, + "learning_rate": 5.0025557470547544e-05, + "loss": 4.8163, + "mean_token_accuracy": 0.24260292798280716, + "num_tokens": 21049584.0, + "step": 11580 + }, + { + "entropy": 5.682524013519287, + "epoch": 9.953158573270304, + "grad_norm": 1.421875, + "learning_rate": 5.002079192563973e-05, + "loss": 4.8331, + "mean_token_accuracy": 0.24820285588502883, + "num_tokens": 21058258.0, + "step": 11585 + }, + { + "entropy": 5.64133734703064, + "epoch": 9.95745595186936, + "grad_norm": 1.4375, + "learning_rate": 5.0016517645398954e-05, + "loss": 4.7718, + "mean_token_accuracy": 0.24942031800746917, + "num_tokens": 21066897.0, + "step": 11590 + }, + { + "entropy": 5.654169988632202, + "epoch": 9.961753330468415, + "grad_norm": 1.421875, + "learning_rate": 5.0012734639158515e-05, + "loss": 4.7563, + "mean_token_accuracy": 0.25281955152750013, + "num_tokens": 21075939.0, + "step": 11595 + }, + { + "entropy": 5.690753316879272, + "epoch": 9.966050709067469, + "grad_norm": 1.359375, + "learning_rate": 5.0009442915178995e-05, + "loss": 4.81, + "mean_token_accuracy": 0.2389753580093384, + "num_tokens": 21085073.0, + "step": 11600 + }, + { + "entropy": 5.690336990356445, + "epoch": 9.970348087666524, + "grad_norm": 1.453125, + "learning_rate": 5.000664248064818e-05, + "loss": 4.9025, + "mean_token_accuracy": 0.23231751769781112, + "num_tokens": 21094195.0, + "step": 11605 + }, + { + "entropy": 5.606776571273803, + "epoch": 9.974645466265578, + "grad_norm": 1.21875, + "learning_rate": 5.000433334168114e-05, + "loss": 4.7578, + "mean_token_accuracy": 0.25698524713516235, + "num_tokens": 21103252.0, + "step": 11610 + }, + { + "entropy": 5.622949171066284, + "epoch": 9.978942844864633, + "grad_norm": 1.4453125, + "learning_rate": 5.000251550332007e-05, + "loss": 4.7909, + "mean_token_accuracy": 0.24625099450349808, + "num_tokens": 21113031.0, + "step": 11615 + }, + { + "entropy": 5.69811520576477, + "epoch": 9.983240223463687, + "grad_norm": 1.3515625, + "learning_rate": 5.000118896953443e-05, + "loss": 4.9154, + "mean_token_accuracy": 0.23258325159549714, + "num_tokens": 21123268.0, + "step": 11620 + }, + { + "entropy": 5.669793796539307, + "epoch": 9.987537602062742, + "grad_norm": 1.4765625, + "learning_rate": 5.000035374322084e-05, + "loss": 4.8415, + "mean_token_accuracy": 0.23702115714550018, + "num_tokens": 21131352.0, + "step": 11625 + }, + { + "entropy": 5.689965295791626, + "epoch": 9.991834980661796, + "grad_norm": 1.6171875, + "learning_rate": 5.000000982620308e-05, + "loss": 4.7715, + "mean_token_accuracy": 0.24520093351602554, + "num_tokens": 21140296.0, + "step": 11630 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 4754071609896960.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-11630/training_args.bin b/checkpoint-11630/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-11630/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-1500/added_tokens.json b/checkpoint-1500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-1500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-1500/config.json b/checkpoint-1500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-1500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-1500/generation_config.json b/checkpoint-1500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-1500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-1500/model.safetensors b/checkpoint-1500/model.safetensors new file mode 100644 index 0000000..425819f --- /dev/null +++ b/checkpoint-1500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a7d8f3e370331e6e3552cf6eb3b031c969925d8931c8e11490de4fdfd0f88ed +size 78179408 diff --git a/checkpoint-1500/rng_state.pth b/checkpoint-1500/rng_state.pth new file mode 100644 index 0000000..962dc5a --- /dev/null +++ b/checkpoint-1500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:905c030bc6e071225bb57d91bdc792eff50465f52b699b63806672b96f2f0302 +size 14645 diff --git a/checkpoint-1500/special_tokens_map.json b/checkpoint-1500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-1500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-1500/spiece.model b/checkpoint-1500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-1500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-1500/tokenizer_config.json b/checkpoint-1500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-1500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-1500/trainer_state.json b/checkpoint-1500/trainer_state.json new file mode 100644 index 0000000..efebc8b --- /dev/null +++ b/checkpoint-1500/trainer_state.json @@ -0,0 +1,3067 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.2887838418564677, + "eval_steps": 500, + "global_step": 1500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 613354283642880.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-1500/training_args.bin b/checkpoint-1500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-1500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-2000/added_tokens.json b/checkpoint-2000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2000/config.json b/checkpoint-2000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2000/generation_config.json b/checkpoint-2000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2000/model.safetensors b/checkpoint-2000/model.safetensors new file mode 100644 index 0000000..a5324d9 --- /dev/null +++ b/checkpoint-2000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b9e9ebf7f9d81376db707e47bb9cc73bd60bb97b4a6491b2a1429b9e3cdc1483 +size 78179408 diff --git a/checkpoint-2000/rng_state.pth b/checkpoint-2000/rng_state.pth new file mode 100644 index 0000000..16863cc --- /dev/null +++ b/checkpoint-2000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4eecf20162eff697c379d919d84a9480092a65b10234b3f045ed3d42f40f2c1c +size 14645 diff --git a/checkpoint-2000/special_tokens_map.json b/checkpoint-2000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2000/spiece.model b/checkpoint-2000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-2000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-2000/tokenizer_config.json b/checkpoint-2000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2000/trainer_state.json b/checkpoint-2000/trainer_state.json new file mode 100644 index 0000000..fdf27d1 --- /dev/null +++ b/checkpoint-2000/trainer_state.json @@ -0,0 +1,4078 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.7185217017619252, + "eval_steps": 500, + "global_step": 2000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 820105322803200.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2000/training_args.bin b/checkpoint-2000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-2000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-2500/added_tokens.json b/checkpoint-2500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-2500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-2500/config.json b/checkpoint-2500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-2500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-2500/generation_config.json b/checkpoint-2500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-2500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-2500/model.safetensors b/checkpoint-2500/model.safetensors new file mode 100644 index 0000000..68a1887 --- /dev/null +++ b/checkpoint-2500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5750f21319735a12b11b27a45dcdbb553408dfa8444a704022071951a6464342 +size 78179408 diff --git a/checkpoint-2500/rng_state.pth b/checkpoint-2500/rng_state.pth new file mode 100644 index 0000000..50ac6d7 --- /dev/null +++ b/checkpoint-2500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ea50940afbf0e6b6b21a57c767494477b82e3b9545f16a75c2f2c745410397f +size 14645 diff --git a/checkpoint-2500/special_tokens_map.json b/checkpoint-2500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-2500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-2500/spiece.model b/checkpoint-2500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-2500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-2500/tokenizer_config.json b/checkpoint-2500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-2500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-2500/trainer_state.json b/checkpoint-2500/trainer_state.json new file mode 100644 index 0000000..ab2950c --- /dev/null +++ b/checkpoint-2500/trainer_state.json @@ -0,0 +1,5089 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.1478298238074776, + "eval_steps": 500, + "global_step": 2500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1024889190266880.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-2500/training_args.bin b/checkpoint-2500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-2500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-3000/added_tokens.json b/checkpoint-3000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3000/config.json b/checkpoint-3000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3000/generation_config.json b/checkpoint-3000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3000/model.safetensors b/checkpoint-3000/model.safetensors new file mode 100644 index 0000000..32d5dfd --- /dev/null +++ b/checkpoint-3000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:375d0ea612d471b2ffe0acc328edf116a55377fbe970d798c95a5a2a6264e2dc +size 78179408 diff --git a/checkpoint-3000/rng_state.pth b/checkpoint-3000/rng_state.pth new file mode 100644 index 0000000..e437d74 --- /dev/null +++ b/checkpoint-3000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d91939316df6135915f1d11ef0b4ed34f661805515193d9577e2e41a713a5eb9 +size 14645 diff --git a/checkpoint-3000/special_tokens_map.json b/checkpoint-3000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3000/spiece.model b/checkpoint-3000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-3000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-3000/tokenizer_config.json b/checkpoint-3000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3000/trainer_state.json b/checkpoint-3000/trainer_state.json new file mode 100644 index 0000000..5ea8572 --- /dev/null +++ b/checkpoint-3000/trainer_state.json @@ -0,0 +1,6100 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.5775676837129353, + "eval_steps": 500, + "global_step": 3000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1231484060252160.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3000/training_args.bin b/checkpoint-3000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-3000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-3500/added_tokens.json b/checkpoint-3500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-3500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-3500/config.json b/checkpoint-3500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-3500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-3500/generation_config.json b/checkpoint-3500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-3500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-3500/model.safetensors b/checkpoint-3500/model.safetensors new file mode 100644 index 0000000..7f3e46f --- /dev/null +++ b/checkpoint-3500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:051043328bb5d5d1502805b9ec1458a0ca33f2b71abeb0819d5861385339f1f5 +size 78179408 diff --git a/checkpoint-3500/rng_state.pth b/checkpoint-3500/rng_state.pth new file mode 100644 index 0000000..0c38330 --- /dev/null +++ b/checkpoint-3500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0570e520890fb9a5e8a9644f612efb57b9b0a28b39e9d41dc7a8948618add113 +size 14645 diff --git a/checkpoint-3500/special_tokens_map.json b/checkpoint-3500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-3500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-3500/spiece.model b/checkpoint-3500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-3500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-3500/tokenizer_config.json b/checkpoint-3500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-3500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-3500/trainer_state.json b/checkpoint-3500/trainer_state.json new file mode 100644 index 0000000..7f9627c --- /dev/null +++ b/checkpoint-3500/trainer_state.json @@ -0,0 +1,7111 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0068758057584875, + "eval_steps": 500, + "global_step": 3500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1434986114734080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-3500/training_args.bin b/checkpoint-3500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-3500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-4000/added_tokens.json b/checkpoint-4000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4000/config.json b/checkpoint-4000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4000/generation_config.json b/checkpoint-4000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4000/model.safetensors b/checkpoint-4000/model.safetensors new file mode 100644 index 0000000..f73f07c --- /dev/null +++ b/checkpoint-4000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0cb51fabd505ad11c084342aa9f038a2a498c296212249791cf24787cc0940e8 +size 78179408 diff --git a/checkpoint-4000/rng_state.pth b/checkpoint-4000/rng_state.pth new file mode 100644 index 0000000..553537a --- /dev/null +++ b/checkpoint-4000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:827314e3cd5d27a4f19d167d152c03cf746206e7646db3fda85ef3358616c701 +size 14645 diff --git a/checkpoint-4000/special_tokens_map.json b/checkpoint-4000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4000/spiece.model b/checkpoint-4000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-4000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-4000/tokenizer_config.json b/checkpoint-4000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4000/trainer_state.json b/checkpoint-4000/trainer_state.json new file mode 100644 index 0000000..4994d52 --- /dev/null +++ b/checkpoint-4000/trainer_state.json @@ -0,0 +1,8122 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.4366136656639448, + "eval_steps": 500, + "global_step": 4000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1640861880145920.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4000/training_args.bin b/checkpoint-4000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-4000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-4500/added_tokens.json b/checkpoint-4500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-4500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-4500/config.json b/checkpoint-4500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-4500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-4500/generation_config.json b/checkpoint-4500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-4500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-4500/model.safetensors b/checkpoint-4500/model.safetensors new file mode 100644 index 0000000..3a93368 --- /dev/null +++ b/checkpoint-4500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f6d41f248bdf253cd46b4fb37aeaececfc507da2ee028ef16dfba80ff907660 +size 78179408 diff --git a/checkpoint-4500/rng_state.pth b/checkpoint-4500/rng_state.pth new file mode 100644 index 0000000..3a8e5ea --- /dev/null +++ b/checkpoint-4500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:da987f0a6b5d7b21bd650a0e249d768ed9e229b09628ee462b329315b00ce80e +size 14645 diff --git a/checkpoint-4500/special_tokens_map.json b/checkpoint-4500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-4500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-4500/spiece.model b/checkpoint-4500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-4500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-4500/tokenizer_config.json b/checkpoint-4500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-4500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-4500/trainer_state.json b/checkpoint-4500/trainer_state.json new file mode 100644 index 0000000..564be97 --- /dev/null +++ b/checkpoint-4500/trainer_state.json @@ -0,0 +1,9133 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.8663515255694025, + "eval_steps": 500, + "global_step": 4500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1841695439247360.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-4500/training_args.bin b/checkpoint-4500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-4500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-500/added_tokens.json b/checkpoint-500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-500/config.json b/checkpoint-500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-500/generation_config.json b/checkpoint-500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-500/model.safetensors b/checkpoint-500/model.safetensors new file mode 100644 index 0000000..6ab1dae --- /dev/null +++ b/checkpoint-500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4280bf60d13b652c8b7c21166816ba8f59593e4d75dc805cda9f2683025a5059 +size 78179408 diff --git a/checkpoint-500/rng_state.pth b/checkpoint-500/rng_state.pth new file mode 100644 index 0000000..a674a33 --- /dev/null +++ b/checkpoint-500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ce252145849e1cafd5e4eac8533bb34e37765715951769f41f53a66314b43c1 +size 14645 diff --git a/checkpoint-500/special_tokens_map.json b/checkpoint-500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-500/spiece.model b/checkpoint-500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-500/tokenizer_config.json b/checkpoint-500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-500/trainer_state.json b/checkpoint-500/trainer_state.json new file mode 100644 index 0000000..ada89d3 --- /dev/null +++ b/checkpoint-500/trainer_state.json @@ -0,0 +1,1045 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.42973785990545765, + "eval_steps": 500, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 204362498211840.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-500/training_args.bin b/checkpoint-500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-5000/added_tokens.json b/checkpoint-5000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5000/config.json b/checkpoint-5000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5000/generation_config.json b/checkpoint-5000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5000/model.safetensors b/checkpoint-5000/model.safetensors new file mode 100644 index 0000000..376e7b1 --- /dev/null +++ b/checkpoint-5000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e9ec15e5a6ae29804903e7d08b2c578ca7e9a2c0a486a8905d303265c763d738 +size 78179408 diff --git a/checkpoint-5000/rng_state.pth b/checkpoint-5000/rng_state.pth new file mode 100644 index 0000000..a1bf7e5 --- /dev/null +++ b/checkpoint-5000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c90f35c62b0f2df7742d3fb9434cca60be3a75b4e108fe480c2bc725f4461bfd +size 14645 diff --git a/checkpoint-5000/special_tokens_map.json b/checkpoint-5000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5000/spiece.model b/checkpoint-5000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-5000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-5000/tokenizer_config.json b/checkpoint-5000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5000/trainer_state.json b/checkpoint-5000/trainer_state.json new file mode 100644 index 0000000..69522e3 --- /dev/null +++ b/checkpoint-5000/trainer_state.json @@ -0,0 +1,10144 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.295659647614955, + "eval_steps": 500, + "global_step": 5000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2048094038476800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5000/training_args.bin b/checkpoint-5000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-5000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-5500/added_tokens.json b/checkpoint-5500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-5500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-5500/config.json b/checkpoint-5500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-5500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-5500/generation_config.json b/checkpoint-5500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-5500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-5500/model.safetensors b/checkpoint-5500/model.safetensors new file mode 100644 index 0000000..9ff3481 --- /dev/null +++ b/checkpoint-5500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:afa905c75aa65cc48e1425f1d5e48b1561ca0fe82e301d303429ff3473b5f3ec +size 78179408 diff --git a/checkpoint-5500/rng_state.pth b/checkpoint-5500/rng_state.pth new file mode 100644 index 0000000..bb9b5f6 --- /dev/null +++ b/checkpoint-5500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1697e48f1debba1af057fe642be1c626fa05cd02ca1552307ccd147eb44f92ad +size 14645 diff --git a/checkpoint-5500/special_tokens_map.json b/checkpoint-5500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-5500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-5500/spiece.model b/checkpoint-5500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-5500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-5500/tokenizer_config.json b/checkpoint-5500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-5500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-5500/trainer_state.json b/checkpoint-5500/trainer_state.json new file mode 100644 index 0000000..5dc0947 --- /dev/null +++ b/checkpoint-5500/trainer_state.json @@ -0,0 +1,11155 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 4.725397507520412, + "eval_steps": 500, + "global_step": 5500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2253283385886720.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-5500/training_args.bin b/checkpoint-5500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-5500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-6000/added_tokens.json b/checkpoint-6000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6000/config.json b/checkpoint-6000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6000/generation_config.json b/checkpoint-6000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6000/model.safetensors b/checkpoint-6000/model.safetensors new file mode 100644 index 0000000..eac1db5 --- /dev/null +++ b/checkpoint-6000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3be8f091fe5050640c2acf8581262e9bad02726f96cee318cb14dff183eb6cc4 +size 78179408 diff --git a/checkpoint-6000/rng_state.pth b/checkpoint-6000/rng_state.pth new file mode 100644 index 0000000..6b04d80 --- /dev/null +++ b/checkpoint-6000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb111d0a527633ad175f612c9c12a129eb1b8bb2f53bc922ccbdd291442d83c3 +size 14645 diff --git a/checkpoint-6000/special_tokens_map.json b/checkpoint-6000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6000/spiece.model b/checkpoint-6000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-6000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-6000/tokenizer_config.json b/checkpoint-6000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6000/trainer_state.json b/checkpoint-6000/trainer_state.json new file mode 100644 index 0000000..2aa5f83 --- /dev/null +++ b/checkpoint-6000/trainer_state.json @@ -0,0 +1,12166 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.154705629565965, + "eval_steps": 500, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2455941188597760.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6000/training_args.bin b/checkpoint-6000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-6000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-6500/added_tokens.json b/checkpoint-6500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-6500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-6500/config.json b/checkpoint-6500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-6500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-6500/generation_config.json b/checkpoint-6500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-6500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-6500/model.safetensors b/checkpoint-6500/model.safetensors new file mode 100644 index 0000000..c2f315d --- /dev/null +++ b/checkpoint-6500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6c19aafbdfb6740f88b5499c002591d4e68e1f909ab063be935615b1572e3c3 +size 78179408 diff --git a/checkpoint-6500/rng_state.pth b/checkpoint-6500/rng_state.pth new file mode 100644 index 0000000..e406d90 --- /dev/null +++ b/checkpoint-6500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b3ec243356a59619229ff0b583b472d09119f44bc2d00fc1059d6986b1035a8 +size 14645 diff --git a/checkpoint-6500/special_tokens_map.json b/checkpoint-6500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-6500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-6500/spiece.model b/checkpoint-6500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-6500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-6500/tokenizer_config.json b/checkpoint-6500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-6500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-6500/trainer_state.json b/checkpoint-6500/trainer_state.json new file mode 100644 index 0000000..8fc211b --- /dev/null +++ b/checkpoint-6500/trainer_state.json @@ -0,0 +1,13177 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 5.584443489471423, + "eval_steps": 500, + "global_step": 6500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2660892045096960.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-6500/training_args.bin b/checkpoint-6500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-6500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-7000/added_tokens.json b/checkpoint-7000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7000/config.json b/checkpoint-7000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7000/generation_config.json b/checkpoint-7000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7000/model.safetensors b/checkpoint-7000/model.safetensors new file mode 100644 index 0000000..f49f25c --- /dev/null +++ b/checkpoint-7000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:52c48ba98606971bdb8ae9f0d0098441865589ba8a1fa0d0b52f761cf8cd5cbf +size 78179408 diff --git a/checkpoint-7000/rng_state.pth b/checkpoint-7000/rng_state.pth new file mode 100644 index 0000000..b55d31a --- /dev/null +++ b/checkpoint-7000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17647ae2d7ca0984697f77019ad1697b06b702252fed5c354862a693955d6bf8 +size 14645 diff --git a/checkpoint-7000/special_tokens_map.json b/checkpoint-7000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7000/spiece.model b/checkpoint-7000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-7000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-7000/tokenizer_config.json b/checkpoint-7000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7000/trainer_state.json b/checkpoint-7000/trainer_state.json new file mode 100644 index 0000000..38e2e83 --- /dev/null +++ b/checkpoint-7000/trainer_state.json @@ -0,0 +1,14188 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.013751611516975, + "eval_steps": 500, + "global_step": 7000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 2865953218775040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7000/training_args.bin b/checkpoint-7000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-7000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-7500/added_tokens.json b/checkpoint-7500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-7500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-7500/config.json b/checkpoint-7500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-7500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-7500/generation_config.json b/checkpoint-7500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-7500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-7500/model.safetensors b/checkpoint-7500/model.safetensors new file mode 100644 index 0000000..a238a93 --- /dev/null +++ b/checkpoint-7500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2c4dc750bd1ad3e6e9d8b18ec5ab4997f224d8086a676c0ac66e91181d50a73 +size 78179408 diff --git a/checkpoint-7500/rng_state.pth b/checkpoint-7500/rng_state.pth new file mode 100644 index 0000000..a56160c --- /dev/null +++ b/checkpoint-7500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4a861ee918e853769d54d4198ada5b196fc9048ee30e6966b62e3612039075b +size 14645 diff --git a/checkpoint-7500/special_tokens_map.json b/checkpoint-7500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-7500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-7500/spiece.model b/checkpoint-7500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-7500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-7500/tokenizer_config.json b/checkpoint-7500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-7500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-7500/trainer_state.json b/checkpoint-7500/trainer_state.json new file mode 100644 index 0000000..1b307ad --- /dev/null +++ b/checkpoint-7500/trainer_state.json @@ -0,0 +1,15199 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.443489471422432, + "eval_steps": 500, + "global_step": 7500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3071697027287040.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-7500/training_args.bin b/checkpoint-7500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-7500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-8000/added_tokens.json b/checkpoint-8000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8000/config.json b/checkpoint-8000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8000/generation_config.json b/checkpoint-8000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8000/model.safetensors b/checkpoint-8000/model.safetensors new file mode 100644 index 0000000..36ddb91 --- /dev/null +++ b/checkpoint-8000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c1bb258767e2d9984ec6fdfaea7cf0d8080fc2d1b8db75478fe492966a1f644 +size 78179408 diff --git a/checkpoint-8000/rng_state.pth b/checkpoint-8000/rng_state.pth new file mode 100644 index 0000000..6ad43b7 --- /dev/null +++ b/checkpoint-8000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4dd1a14ffd8b7728556295447d329212bee47530d575c2d784302b461b95cd39 +size 14645 diff --git a/checkpoint-8000/special_tokens_map.json b/checkpoint-8000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8000/spiece.model b/checkpoint-8000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-8000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-8000/tokenizer_config.json b/checkpoint-8000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8000/trainer_state.json b/checkpoint-8000/trainer_state.json new file mode 100644 index 0000000..a6c4b04 --- /dev/null +++ b/checkpoint-8000/trainer_state.json @@ -0,0 +1,16210 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 6.8732273313278895, + "eval_steps": 500, + "global_step": 8000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3272079027456000.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8000/training_args.bin b/checkpoint-8000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-8000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-8500/added_tokens.json b/checkpoint-8500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-8500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-8500/config.json b/checkpoint-8500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-8500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-8500/generation_config.json b/checkpoint-8500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-8500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-8500/model.safetensors b/checkpoint-8500/model.safetensors new file mode 100644 index 0000000..d6acb3b --- /dev/null +++ b/checkpoint-8500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0990c0f26a616031276fb196cb80e5d9e2baefabf0451666e0df5de5770f34cd +size 78179408 diff --git a/checkpoint-8500/rng_state.pth b/checkpoint-8500/rng_state.pth new file mode 100644 index 0000000..713ff21 --- /dev/null +++ b/checkpoint-8500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:108370032e2e1dfddac43d73c7c7248e1e03b6021ab090c1fe947a87ed782912 +size 14645 diff --git a/checkpoint-8500/special_tokens_map.json b/checkpoint-8500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-8500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-8500/spiece.model b/checkpoint-8500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-8500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-8500/tokenizer_config.json b/checkpoint-8500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-8500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-8500/trainer_state.json b/checkpoint-8500/trainer_state.json new file mode 100644 index 0000000..4bfe8ea --- /dev/null +++ b/checkpoint-8500/trainer_state.json @@ -0,0 +1,17221 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.302535453373443, + "eval_steps": 500, + "global_step": 8500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3476720269486080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-8500/training_args.bin b/checkpoint-8500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-8500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-9000/added_tokens.json b/checkpoint-9000/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9000/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9000/config.json b/checkpoint-9000/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9000/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9000/generation_config.json b/checkpoint-9000/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9000/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9000/model.safetensors b/checkpoint-9000/model.safetensors new file mode 100644 index 0000000..82048ea --- /dev/null +++ b/checkpoint-9000/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28bddf5ad4d1e49101827dce77a9151ae983e971292f60f65793ca9a04ac7f43 +size 78179408 diff --git a/checkpoint-9000/rng_state.pth b/checkpoint-9000/rng_state.pth new file mode 100644 index 0000000..6daed3f --- /dev/null +++ b/checkpoint-9000/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:339a581b7229dfbe1e14b011b0f3069c6e71ad289c027c31d4d80e171d5ed0ad +size 14645 diff --git a/checkpoint-9000/special_tokens_map.json b/checkpoint-9000/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9000/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9000/spiece.model b/checkpoint-9000/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-9000/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-9000/tokenizer_config.json b/checkpoint-9000/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9000/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9000/trainer_state.json b/checkpoint-9000/trainer_state.json new file mode 100644 index 0000000..acafbc4 --- /dev/null +++ b/checkpoint-9000/trainer_state.json @@ -0,0 +1,18232 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 7.7322733132789, + "eval_steps": 500, + "global_step": 9000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3680735321548800.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9000/training_args.bin b/checkpoint-9000/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-9000/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/checkpoint-9500/added_tokens.json b/checkpoint-9500/added_tokens.json new file mode 100644 index 0000000..b3dbcdb --- /dev/null +++ b/checkpoint-9500/added_tokens.json @@ -0,0 +1,1202 @@ +{ + "": 50002, + "[CLS]": 50000, + "[MASK]": 50003, + "[SEP]": 50001, + "[XXXXX0]": 50771, + "[XXXXX1000]": 50549, + "[XXXXX1001]": 50657, + "[XXXXX1002]": 51158, + "[XXXXX1003]": 51044, + "[XXXXX1004]": 50688, + "[XXXXX1005]": 50689, + "[XXXXX1006]": 50410, + "[XXXXX1007]": 50724, + "[XXXXX1008]": 50171, + "[XXXXX1009]": 51077, + "[XXXXX100]": 50091, + "[XXXXX1010]": 50639, + "[XXXXX1011]": 51094, + "[XXXXX1012]": 50392, + "[XXXXX1013]": 50626, + "[XXXXX1014]": 50991, + "[XXXXX1015]": 50529, + "[XXXXX1016]": 51193, + "[XXXXX1017]": 51073, + "[XXXXX1018]": 51104, + "[XXXXX1019]": 50775, + "[XXXXX101]": 50139, + "[XXXXX1020]": 50157, + "[XXXXX1021]": 50934, + "[XXXXX1022]": 51159, + "[XXXXX1023]": 50048, + "[XXXXX1024]": 51123, + "[XXXXX1025]": 50084, + "[XXXXX1026]": 50813, + "[XXXXX1027]": 50725, + "[XXXXX1028]": 50931, + "[XXXXX1029]": 50233, + "[XXXXX102]": 50213, + "[XXXXX1030]": 51023, + "[XXXXX1031]": 50098, + "[XXXXX1032]": 50802, + "[XXXXX1033]": 50061, + "[XXXXX1034]": 51139, + "[XXXXX1035]": 51110, + "[XXXXX1036]": 50204, + "[XXXXX1037]": 50023, + "[XXXXX1038]": 50142, + "[XXXXX1039]": 50328, + "[XXXXX103]": 50087, + "[XXXXX1040]": 50435, + "[XXXXX1041]": 50489, + "[XXXXX1042]": 50216, + "[XXXXX1043]": 50144, + "[XXXXX1044]": 50832, + "[XXXXX1045]": 50566, + "[XXXXX1046]": 50922, + "[XXXXX1047]": 50796, + "[XXXXX1048]": 50533, + "[XXXXX1049]": 50433, + "[XXXXX104]": 50478, + "[XXXXX1050]": 50953, + "[XXXXX1051]": 50497, + "[XXXXX1052]": 50655, + "[XXXXX1053]": 50881, + "[XXXXX1054]": 50461, + "[XXXXX1055]": 50052, + "[XXXXX1056]": 50219, + "[XXXXX1057]": 50789, + "[XXXXX1058]": 50121, + "[XXXXX1059]": 51002, + "[XXXXX105]": 51192, + "[XXXXX1060]": 50158, + "[XXXXX1061]": 50352, + "[XXXXX1062]": 50637, + "[XXXXX1063]": 50440, + "[XXXXX1064]": 50590, + "[XXXXX1065]": 51107, + "[XXXXX1066]": 50758, + "[XXXXX1067]": 51011, + "[XXXXX1068]": 50985, + "[XXXXX1069]": 51175, + "[XXXXX106]": 50532, + "[XXXXX1070]": 50790, + "[XXXXX1071]": 50394, + "[XXXXX1072]": 50852, + "[XXXXX1073]": 50869, + "[XXXXX1074]": 50126, + "[XXXXX1075]": 50783, + "[XXXXX1076]": 50806, + "[XXXXX1077]": 50882, + "[XXXXX1078]": 50726, + "[XXXXX1079]": 51010, + "[XXXXX107]": 50714, + "[XXXXX1080]": 50168, + "[XXXXX1081]": 50425, + "[XXXXX1082]": 50848, + "[XXXXX1083]": 50014, + "[XXXXX1084]": 50341, + "[XXXXX1085]": 50734, + "[XXXXX1086]": 50664, + "[XXXXX1087]": 51007, + "[XXXXX1088]": 51151, + "[XXXXX1089]": 50269, + "[XXXXX108]": 50996, + "[XXXXX1090]": 50826, + "[XXXXX1091]": 51105, + "[XXXXX1092]": 50731, + "[XXXXX1093]": 50856, + "[XXXXX1094]": 50369, + "[XXXXX1095]": 50065, + "[XXXXX1096]": 50309, + "[XXXXX1097]": 50838, + "[XXXXX1098]": 50451, + "[XXXXX1099]": 50384, + "[XXXXX109]": 50543, + "[XXXXX10]": 50325, + "[XXXXX1100]": 50318, + "[XXXXX1101]": 50764, + "[XXXXX1102]": 51025, + "[XXXXX1103]": 50642, + "[XXXXX1104]": 50665, + "[XXXXX1105]": 50855, + "[XXXXX1106]": 51063, + "[XXXXX1107]": 50025, + "[XXXXX1108]": 50122, + "[XXXXX1109]": 50470, + "[XXXXX110]": 50062, + "[XXXXX1110]": 51019, + "[XXXXX1111]": 51124, + "[XXXXX1112]": 50146, + "[XXXXX1113]": 51125, + "[XXXXX1114]": 50434, + "[XXXXX1115]": 50818, + "[XXXXX1116]": 50960, + "[XXXXX1117]": 50258, + "[XXXXX1118]": 50596, + "[XXXXX1119]": 50083, + "[XXXXX111]": 51064, + "[XXXXX1120]": 50915, + "[XXXXX1121]": 50835, + "[XXXXX1122]": 51056, + "[XXXXX1123]": 50172, + "[XXXXX1124]": 50972, + "[XXXXX1125]": 50275, + "[XXXXX1126]": 50430, + "[XXXXX1127]": 50743, + "[XXXXX1128]": 50551, + "[XXXXX1129]": 50439, + "[XXXXX112]": 50819, + "[XXXXX1130]": 50536, + "[XXXXX1131]": 50622, + "[XXXXX1132]": 50623, + "[XXXXX1133]": 50117, + "[XXXXX1134]": 50251, + "[XXXXX1135]": 50678, + "[XXXXX1136]": 50316, + "[XXXXX1137]": 50905, + "[XXXXX1138]": 50992, + "[XXXXX1139]": 50851, + "[XXXXX113]": 50443, + "[XXXXX1140]": 50499, + "[XXXXX1141]": 50629, + "[XXXXX1142]": 50944, + "[XXXXX1143]": 50373, + "[XXXXX1144]": 50123, + "[XXXXX1145]": 50173, + "[XXXXX1146]": 50891, + "[XXXXX1147]": 50471, + "[XXXXX1148]": 50560, + "[XXXXX1149]": 50541, + "[XXXXX114]": 50631, + "[XXXXX1150]": 50033, + "[XXXXX1151]": 50063, + "[XXXXX1152]": 50767, + "[XXXXX1153]": 50897, + "[XXXXX1154]": 50568, + "[XXXXX1155]": 51131, + "[XXXXX1156]": 50009, + "[XXXXX1157]": 50417, + "[XXXXX1158]": 50477, + "[XXXXX1159]": 50941, + "[XXXXX115]": 50294, + "[XXXXX1160]": 50679, + "[XXXXX1161]": 51108, + "[XXXXX1162]": 50332, + "[XXXXX1163]": 50424, + "[XXXXX1164]": 50473, + "[XXXXX1165]": 50793, + "[XXXXX1166]": 50453, + "[XXXXX1167]": 50807, + "[XXXXX1168]": 50128, + "[XXXXX1169]": 50039, + "[XXXXX116]": 50759, + "[XXXXX1170]": 50735, + "[XXXXX1171]": 50366, + "[XXXXX1172]": 50808, + "[XXXXX1173]": 50426, + "[XXXXX1174]": 50076, + "[XXXXX1175]": 50943, + "[XXXXX1176]": 50252, + "[XXXXX1177]": 50999, + "[XXXXX1178]": 50264, + "[XXXXX1179]": 50607, + "[XXXXX117]": 51036, + "[XXXXX1180]": 50986, + "[XXXXX1181]": 50744, + "[XXXXX1182]": 50186, + "[XXXXX1183]": 50555, + "[XXXXX1184]": 51076, + "[XXXXX1185]": 50849, + "[XXXXX1186]": 51128, + "[XXXXX1187]": 50858, + "[XXXXX1188]": 50656, + "[XXXXX1189]": 50064, + "[XXXXX118]": 50081, + "[XXXXX1190]": 51197, + "[XXXXX1191]": 50104, + "[XXXXX1192]": 50045, + "[XXXXX1193]": 50404, + "[XXXXX1194]": 50690, + "[XXXXX1195]": 50495, + "[XXXXX119]": 50108, + "[XXXXX11]": 50976, + "[XXXXX120]": 51081, + "[XXXXX121]": 50464, + "[XXXXX122]": 50829, + "[XXXXX123]": 50766, + "[XXXXX124]": 50732, + "[XXXXX125]": 50221, + "[XXXXX126]": 50810, + "[XXXXX127]": 50130, + "[XXXXX128]": 50751, + "[XXXXX129]": 50662, + "[XXXXX12]": 50602, + "[XXXXX130]": 50035, + "[XXXXX131]": 50715, + "[XXXXX132]": 50340, + "[XXXXX133]": 50563, + "[XXXXX134]": 50993, + "[XXXXX135]": 50304, + "[XXXXX136]": 50131, + "[XXXXX137]": 50578, + "[XXXXX138]": 50757, + "[XXXXX139]": 50582, + "[XXXXX13]": 50105, + "[XXXXX140]": 50085, + "[XXXXX141]": 50553, + "[XXXXX142]": 50749, + "[XXXXX143]": 50351, + "[XXXXX144]": 51024, + "[XXXXX145]": 51144, + "[XXXXX146]": 50042, + "[XXXXX147]": 50145, + "[XXXXX148]": 50066, + "[XXXXX149]": 50876, + "[XXXXX14]": 51006, + "[XXXXX150]": 50280, + "[XXXXX151]": 50093, + "[XXXXX152]": 50638, + "[XXXXX153]": 50684, + "[XXXXX154]": 50820, + "[XXXXX155]": 51196, + "[XXXXX156]": 50317, + "[XXXXX157]": 50284, + "[XXXXX158]": 50288, + "[XXXXX159]": 50814, + "[XXXXX15]": 50608, + "[XXXXX160]": 50004, + "[XXXXX161]": 50008, + "[XXXXX162]": 50377, + "[XXXXX163]": 50214, + "[XXXXX164]": 50708, + "[XXXXX165]": 50390, + "[XXXXX166]": 50741, + "[XXXXX167]": 50445, + "[XXXXX168]": 50936, + "[XXXXX169]": 50896, + "[XXXXX16]": 50442, + "[XXXXX170]": 50109, + "[XXXXX171]": 50140, + "[XXXXX172]": 50427, + "[XXXXX173]": 51074, + "[XXXXX174]": 50162, + "[XXXXX175]": 51015, + "[XXXXX176]": 50524, + "[XXXXX177]": 50673, + "[XXXXX178]": 50054, + "[XXXXX179]": 50805, + "[XXXXX17]": 50482, + "[XXXXX180]": 50253, + "[XXXXX181]": 50493, + "[XXXXX182]": 50421, + "[XXXXX183]": 51050, + "[XXXXX184]": 50521, + "[XXXXX185]": 50188, + "[XXXXX186]": 50147, + "[XXXXX187]": 50201, + "[XXXXX188]": 50973, + "[XXXXX189]": 50409, + "[XXXXX18]": 50115, + "[XXXXX190]": 50051, + "[XXXXX191]": 51020, + "[XXXXX192]": 51047, + "[XXXXX193]": 50669, + "[XXXXX194]": 50643, + "[XXXXX195]": 50159, + "[XXXXX196]": 50649, + "[XXXXX197]": 51178, + "[XXXXX198]": 50043, + "[XXXXX199]": 51147, + "[XXXXX19]": 51127, + "[XXXXX1]": 51114, + "[XXXXX200]": 50840, + "[XXXXX201]": 50365, + "[XXXXX202]": 50232, + "[XXXXX203]": 50241, + "[XXXXX204]": 50548, + "[XXXXX205]": 50781, + "[XXXXX206]": 50923, + "[XXXXX207]": 51115, + "[XXXXX208]": 50344, + "[XXXXX209]": 50299, + "[XXXXX20]": 51031, + "[XXXXX210]": 51179, + "[XXXXX211]": 51163, + "[XXXXX212]": 50562, + "[XXXXX213]": 50094, + "[XXXXX214]": 50257, + "[XXXXX215]": 50967, + "[XXXXX216]": 50523, + "[XXXXX217]": 51132, + "[XXXXX218]": 51146, + "[XXXXX219]": 50411, + "[XXXXX21]": 50354, + "[XXXXX220]": 50853, + "[XXXXX221]": 50886, + "[XXXXX222]": 50600, + "[XXXXX223]": 50873, + "[XXXXX224]": 50416, + "[XXXXX225]": 50675, + "[XXXXX226]": 50583, + "[XXXXX227]": 50151, + "[XXXXX228]": 50927, + "[XXXXX229]": 50609, + "[XXXXX22]": 50589, + "[XXXXX230]": 50238, + "[XXXXX231]": 50242, + "[XXXXX232]": 51016, + "[XXXXX233]": 50406, + "[XXXXX234]": 50908, + "[XXXXX235]": 50024, + "[XXXXX236]": 50270, + "[XXXXX237]": 50132, + "[XXXXX238]": 50800, + "[XXXXX239]": 50236, + "[XXXXX23]": 50007, + "[XXXXX240]": 50005, + "[XXXXX241]": 50894, + "[XXXXX242]": 50694, + "[XXXXX243]": 51071, + "[XXXXX244]": 51017, + "[XXXXX245]": 50068, + "[XXXXX246]": 50682, + "[XXXXX247]": 50913, + "[XXXXX248]": 51028, + "[XXXXX249]": 50037, + "[XXXXX24]": 51169, + "[XXXXX250]": 50747, + "[XXXXX251]": 50947, + "[XXXXX252]": 50329, + "[XXXXX253]": 50612, + "[XXXXX254]": 50110, + "[XXXXX255]": 50824, + "[XXXXX256]": 50558, + "[XXXXX257]": 50969, + "[XXXXX258]": 50729, + "[XXXXX259]": 50125, + "[XXXXX25]": 51160, + "[XXXXX260]": 50040, + "[XXXXX261]": 51038, + "[XXXXX262]": 50347, + "[XXXXX263]": 50740, + "[XXXXX264]": 51195, + "[XXXXX265]": 50879, + "[XXXXX266]": 50770, + "[XXXXX267]": 50178, + "[XXXXX268]": 50804, + "[XXXXX269]": 50906, + "[XXXXX26]": 50150, + "[XXXXX270]": 51191, + "[XXXXX271]": 50047, + "[XXXXX272]": 50195, + "[XXXXX273]": 50554, + "[XXXXX274]": 50833, + "[XXXXX275]": 50346, + "[XXXXX276]": 50950, + "[XXXXX277]": 50864, + "[XXXXX278]": 50259, + "[XXXXX279]": 50671, + "[XXXXX27]": 50468, + "[XXXXX280]": 50082, + "[XXXXX281]": 50565, + "[XXXXX282]": 50984, + "[XXXXX283]": 50650, + "[XXXXX284]": 50975, + "[XXXXX285]": 50603, + "[XXXXX286]": 50027, + "[XXXXX287]": 50181, + "[XXXXX288]": 50981, + "[XXXXX289]": 50885, + "[XXXXX28]": 50249, + "[XXXXX290]": 50522, + "[XXXXX291]": 50050, + "[XXXXX292]": 50313, + "[XXXXX293]": 50503, + "[XXXXX294]": 51176, + "[XXXXX295]": 51177, + "[XXXXX296]": 50379, + "[XXXXX297]": 50635, + "[XXXXX298]": 50723, + "[XXXXX299]": 50200, + "[XXXXX29]": 50892, + "[XXXXX2]": 51119, + "[XXXXX300]": 51026, + "[XXXXX301]": 50528, + "[XXXXX302]": 51149, + "[XXXXX303]": 50044, + "[XXXXX304]": 50209, + "[XXXXX305]": 50988, + "[XXXXX306]": 50518, + "[XXXXX307]": 50088, + "[XXXXX308]": 50733, + "[XXXXX309]": 51066, + "[XXXXX30]": 50506, + "[XXXXX310]": 50285, + "[XXXXX311]": 50859, + "[XXXXX312]": 50263, + "[XXXXX313]": 50594, + "[XXXXX314]": 51103, + "[XXXXX315]": 50871, + "[XXXXX316]": 50300, + "[XXXXX317]": 50760, + "[XXXXX318]": 50055, + "[XXXXX319]": 50389, + "[XXXXX31]": 50212, + "[XXXXX320]": 50444, + "[XXXXX321]": 50994, + "[XXXXX322]": 50281, + "[XXXXX323]": 50179, + "[XXXXX324]": 50455, + "[XXXXX325]": 50970, + "[XXXXX326]": 50666, + "[XXXXX327]": 50604, + "[XXXXX328]": 50627, + "[XXXXX329]": 50475, + "[XXXXX32]": 50277, + "[XXXXX330]": 50667, + "[XXXXX331]": 50348, + "[XXXXX332]": 50772, + "[XXXXX333]": 50163, + "[XXXXX334]": 50569, + "[XXXXX335]": 50018, + "[XXXXX336]": 50883, + "[XXXXX337]": 50067, + "[XXXXX338]": 51184, + "[XXXXX339]": 50997, + "[XXXXX33]": 50403, + "[XXXXX340]": 51013, + "[XXXXX341]": 50957, + "[XXXXX342]": 51106, + "[XXXXX343]": 51174, + "[XXXXX344]": 50391, + "[XXXXX345]": 50948, + "[XXXXX346]": 50180, + "[XXXXX347]": 50811, + "[XXXXX348]": 50401, + "[XXXXX349]": 50911, + "[XXXXX34]": 50223, + "[XXXXX350]": 51089, + "[XXXXX351]": 50777, + "[XXXXX352]": 50189, + "[XXXXX353]": 50492, + "[XXXXX354]": 50205, + "[XXXXX355]": 50374, + "[XXXXX356]": 51152, + "[XXXXX357]": 50695, + "[XXXXX358]": 51117, + "[XXXXX359]": 50573, + "[XXXXX35]": 50752, + "[XXXXX360]": 50955, + "[XXXXX361]": 50349, + "[XXXXX362]": 51137, + "[XXXXX363]": 50641, + "[XXXXX364]": 51148, + "[XXXXX365]": 50255, + "[XXXXX366]": 50310, + "[XXXXX367]": 50314, + "[XXXXX368]": 50971, + "[XXXXX369]": 50916, + "[XXXXX36]": 50437, + "[XXXXX370]": 51096, + "[XXXXX371]": 50557, + "[XXXXX372]": 51095, + "[XXXXX373]": 50382, + "[XXXXX374]": 50119, + "[XXXXX375]": 50958, + "[XXXXX376]": 50624, + "[XXXXX377]": 50483, + "[XXXXX378]": 50605, + "[XXXXX379]": 50017, + "[XXXXX37]": 50706, + "[XXXXX380]": 50246, + "[XXXXX381]": 50588, + "[XXXXX382]": 51008, + "[XXXXX383]": 50801, + "[XXXXX384]": 50290, + "[XXXXX385]": 50899, + "[XXXXX386]": 50206, + "[XXXXX387]": 50716, + "[XXXXX388]": 51082, + "[XXXXX389]": 50177, + "[XXXXX38]": 50736, + "[XXXXX390]": 50282, + "[XXXXX391]": 51183, + "[XXXXX392]": 50286, + "[XXXXX393]": 50659, + "[XXXXX394]": 50378, + "[XXXXX395]": 50709, + "[XXXXX396]": 50028, + "[XXXXX397]": 50235, + "[XXXXX398]": 51014, + "[XXXXX399]": 50880, + "[XXXXX39]": 50305, + "[XXXXX3]": 50077, + "[XXXXX400]": 50155, + "[XXXXX401]": 50710, + "[XXXXX402]": 50507, + "[XXXXX403]": 50860, + "[XXXXX404]": 50661, + "[XXXXX405]": 51083, + "[XXXXX406]": 50888, + "[XXXXX407]": 50069, + "[XXXXX408]": 50691, + "[XXXXX409]": 51055, + "[XXXXX40]": 50337, + "[XXXXX410]": 50137, + "[XXXXX411]": 50791, + "[XXXXX412]": 50136, + "[XXXXX413]": 50730, + "[XXXXX414]": 50267, + "[XXXXX415]": 50012, + "[XXXXX416]": 50681, + "[XXXXX417]": 50942, + "[XXXXX418]": 50720, + "[XXXXX419]": 50844, + "[XXXXX41]": 50387, + "[XXXXX420]": 50111, + "[XXXXX421]": 51003, + "[XXXXX422]": 50785, + "[XXXXX423]": 50149, + "[XXXXX424]": 50422, + "[XXXXX425]": 51086, + "[XXXXX426]": 50862, + "[XXXXX427]": 50576, + "[XXXXX428]": 51049, + "[XXXXX429]": 50630, + "[XXXXX42]": 50799, + "[XXXXX430]": 50289, + "[XXXXX431]": 50184, + "[XXXXX432]": 50319, + "[XXXXX433]": 51116, + "[XXXXX434]": 50519, + "[XXXXX435]": 50496, + "[XXXXX436]": 50517, + "[XXXXX437]": 50865, + "[XXXXX438]": 50737, + "[XXXXX439]": 50356, + "[XXXXX43]": 50359, + "[XXXXX440]": 50898, + "[XXXXX441]": 50113, + "[XXXXX442]": 50527, + "[XXXXX443]": 50762, + "[XXXXX444]": 50540, + "[XXXXX445]": 50925, + "[XXXXX446]": 50711, + "[XXXXX447]": 50143, + "[XXXXX448]": 51170, + "[XXXXX449]": 50413, + "[XXXXX44]": 50097, + "[XXXXX450]": 50375, + "[XXXXX451]": 50846, + "[XXXXX452]": 50217, + "[XXXXX453]": 50699, + "[XXXXX454]": 50412, + "[XXXXX455]": 50418, + "[XXXXX456]": 51143, + "[XXXXX457]": 51141, + "[XXXXX458]": 51157, + "[XXXXX459]": 50825, + "[XXXXX45]": 50203, + "[XXXXX460]": 50194, + "[XXXXX461]": 50148, + "[XXXXX462]": 50276, + "[XXXXX463]": 50271, + "[XXXXX464]": 50836, + "[XXXXX465]": 50854, + "[XXXXX466]": 50164, + "[XXXXX467]": 50484, + "[XXXXX468]": 51097, + "[XXXXX469]": 50182, + "[XXXXX46]": 50505, + "[XXXXX470]": 50670, + "[XXXXX471]": 50595, + "[XXXXX472]": 50237, + "[XXXXX473]": 50057, + "[XXXXX474]": 50431, + "[XXXXX475]": 50738, + "[XXXXX476]": 51145, + "[XXXXX477]": 50247, + "[XXXXX478]": 50029, + "[XXXXX479]": 50917, + "[XXXXX47]": 50579, + "[XXXXX480]": 50702, + "[XXXXX481]": 50831, + "[XXXXX482]": 50753, + "[XXXXX483]": 50598, + "[XXXXX484]": 51136, + "[XXXXX485]": 50092, + "[XXXXX486]": 50202, + "[XXXXX487]": 50106, + "[XXXXX488]": 50924, + "[XXXXX489]": 51113, + "[XXXXX48]": 50842, + "[XXXXX490]": 50761, + "[XXXXX491]": 50577, + "[XXXXX492]": 50692, + "[XXXXX493]": 51130, + "[XXXXX494]": 50932, + "[XXXXX495]": 50837, + "[XXXXX496]": 50893, + "[XXXXX497]": 50773, + "[XXXXX498]": 50360, + "[XXXXX499]": 50900, + "[XXXXX49]": 51062, + "[XXXXX4]": 50396, + "[XXXXX500]": 51034, + "[XXXXX501]": 50472, + "[XXXXX502]": 50660, + "[XXXXX503]": 50815, + "[XXXXX504]": 50939, + "[XXXXX505]": 50419, + "[XXXXX506]": 50324, + "[XXXXX507]": 50428, + "[XXXXX508]": 50274, + "[XXXXX509]": 50311, + "[XXXXX50]": 50459, + "[XXXXX510]": 50674, + "[XXXXX511]": 50580, + "[XXXXX512]": 50956, + "[XXXXX513]": 50165, + "[XXXXX514]": 50320, + "[XXXXX515]": 50648, + "[XXXXX516]": 50386, + "[XXXXX517]": 50058, + "[XXXXX518]": 51045, + "[XXXXX519]": 50103, + "[XXXXX51]": 50979, + "[XXXXX520]": 50530, + "[XXXXX521]": 50907, + "[XXXXX522]": 50260, + "[XXXXX523]": 50632, + "[XXXXX524]": 50926, + "[XXXXX525]": 50687, + "[XXXXX526]": 50160, + "[XXXXX527]": 51053, + "[XXXXX528]": 50652, + "[XXXXX529]": 51041, + "[XXXXX52]": 50272, + "[XXXXX530]": 51111, + "[XXXXX531]": 51009, + "[XXXXX532]": 51079, + "[XXXXX533]": 50487, + "[XXXXX534]": 51059, + "[XXXXX535]": 50335, + "[XXXXX536]": 50380, + "[XXXXX537]": 50301, + "[XXXXX538]": 51067, + "[XXXXX539]": 51052, + "[XXXXX53]": 51048, + "[XXXXX540]": 50822, + "[XXXXX541]": 51040, + "[XXXXX542]": 50490, + "[XXXXX543]": 50448, + "[XXXXX544]": 50812, + "[XXXXX545]": 50099, + "[XXXXX546]": 51199, + "[XXXXX547]": 50226, + "[XXXXX548]": 50538, + "[XXXXX549]": 50342, + "[XXXXX54]": 50701, + "[XXXXX550]": 50544, + "[XXXXX551]": 50398, + "[XXXXX552]": 51102, + "[XXXXX553]": 50919, + "[XXXXX554]": 50615, + "[XXXXX555]": 50769, + "[XXXXX556]": 50940, + "[XXXXX557]": 50070, + "[XXXXX558]": 50680, + "[XXXXX559]": 50611, + "[XXXXX55]": 50574, + "[XXXXX560]": 50381, + "[XXXXX561]": 50350, + "[XXXXX562]": 50175, + "[XXXXX563]": 50584, + "[XXXXX564]": 50703, + "[XXXXX565]": 50989, + "[XXXXX566]": 50877, + "[XXXXX567]": 51039, + "[XXXXX568]": 51018, + "[XXXXX569]": 50452, + "[XXXXX56]": 51099, + "[XXXXX570]": 50161, + "[XXXXX571]": 50921, + "[XXXXX572]": 50676, + "[XXXXX573]": 50326, + "[XXXXX574]": 50987, + "[XXXXX575]": 50361, + "[XXXXX576]": 50071, + "[XXXXX577]": 50803, + "[XXXXX578]": 50400, + "[XXXXX579]": 51091, + "[XXXXX57]": 50501, + "[XXXXX580]": 50887, + "[XXXXX581]": 50839, + "[XXXXX582]": 51138, + "[XXXXX583]": 50816, + "[XXXXX584]": 50339, + "[XXXXX585]": 50463, + "[XXXXX586]": 50399, + "[XXXXX587]": 51070, + "[XXXXX588]": 50457, + "[XXXXX589]": 50828, + "[XXXXX58]": 50183, + "[XXXXX590]": 50080, + "[XXXXX591]": 50550, + "[XXXXX592]": 50129, + "[XXXXX593]": 50273, + "[XXXXX594]": 50388, + "[XXXXX595]": 50491, + "[XXXXX596]": 50278, + "[XXXXX597]": 50011, + "[XXXXX598]": 50254, + "[XXXXX599]": 50302, + "[XXXXX59]": 50353, + "[XXXXX5]": 50010, + "[XXXXX600]": 50704, + "[XXXXX601]": 51118, + "[XXXXX602]": 50049, + "[XXXXX603]": 51190, + "[XXXXX604]": 51142, + "[XXXXX605]": 50707, + "[XXXXX606]": 50937, + "[XXXXX607]": 50875, + "[XXXXX608]": 50564, + "[XXXXX609]": 50345, + "[XXXXX60]": 50713, + "[XXXXX610]": 50949, + "[XXXXX611]": 50978, + "[XXXXX612]": 50330, + "[XXXXX613]": 51035, + "[XXXXX614]": 50402, + "[XXXXX615]": 50176, + "[XXXXX616]": 51133, + "[XXXXX617]": 50222, + "[XXXXX618]": 50118, + "[XXXXX619]": 50196, + "[XXXXX61]": 50298, + "[XXXXX620]": 50668, + "[XXXXX621]": 50462, + "[XXXXX622]": 50218, + "[XXXXX623]": 51101, + "[XXXXX624]": 50362, + "[XXXXX625]": 50779, + "[XXXXX626]": 50513, + "[XXXXX627]": 50746, + "[XXXXX628]": 50141, + "[XXXXX629]": 50479, + "[XXXXX62]": 50056, + "[XXXXX630]": 51180, + "[XXXXX631]": 50872, + "[XXXXX632]": 50315, + "[XXXXX633]": 50397, + "[XXXXX634]": 51165, + "[XXXXX635]": 50046, + "[XXXXX636]": 50795, + "[XXXXX637]": 50959, + "[XXXXX638]": 50786, + "[XXXXX639]": 50240, + "[XXXXX63]": 51061, + "[XXXXX640]": 50601, + "[XXXXX641]": 50904, + "[XXXXX642]": 50376, + "[XXXXX643]": 50663, + "[XXXXX644]": 50613, + "[XXXXX645]": 50467, + "[XXXXX646]": 50546, + "[XXXXX647]": 50465, + "[XXXXX648]": 50395, + "[XXXXX649]": 50287, + "[XXXXX64]": 51162, + "[XXXXX650]": 50474, + "[XXXXX651]": 50727, + "[XXXXX652]": 50243, + "[XXXXX653]": 51100, + "[XXXXX654]": 50705, + "[XXXXX655]": 51012, + "[XXXXX656]": 50447, + "[XXXXX657]": 50719, + "[XXXXX658]": 50712, + "[XXXXX659]": 50476, + "[XXXXX65]": 50587, + "[XXXXX660]": 51054, + "[XXXXX661]": 51166, + "[XXXXX662]": 50494, + "[XXXXX663]": 50230, + "[XXXXX664]": 50621, + "[XXXXX665]": 50809, + "[XXXXX666]": 50265, + "[XXXXX667]": 50645, + "[XXXXX668]": 50817, + "[XXXXX669]": 50030, + "[XXXXX66]": 51029, + "[XXXXX670]": 51004, + "[XXXXX671]": 50685, + "[XXXXX672]": 50625, + "[XXXXX673]": 50890, + "[XXXXX674]": 50383, + "[XXXXX675]": 50929, + "[XXXXX676]": 50116, + "[XXXXX677]": 51072, + "[XXXXX678]": 51126, + "[XXXXX679]": 50755, + "[XXXXX67]": 50717, + "[XXXXX680]": 50303, + "[XXXXX681]": 50504, + "[XXXXX682]": 51075, + "[XXXXX683]": 50261, + "[XXXXX684]": 50861, + "[XXXXX685]": 50306, + "[XXXXX686]": 50016, + "[XXXXX687]": 50101, + "[XXXXX688]": 51098, + "[XXXXX689]": 50827, + "[XXXXX68]": 50863, + "[XXXXX690]": 50640, + "[XXXXX691]": 50031, + "[XXXXX692]": 50768, + "[XXXXX693]": 50013, + "[XXXXX694]": 51032, + "[XXXXX695]": 50166, + "[XXXXX696]": 50127, + "[XXXXX697]": 50414, + "[XXXXX698]": 50742, + "[XXXXX699]": 51042, + "[XXXXX69]": 51112, + "[XXXXX6]": 50593, + "[XXXXX700]": 50292, + "[XXXXX701]": 50174, + "[XXXXX702]": 50547, + "[XXXXX703]": 50498, + "[XXXXX704]": 51078, + "[XXXXX705]": 50133, + "[XXXXX706]": 50041, + "[XXXXX707]": 51181, + "[XXXXX708]": 50585, + "[XXXXX709]": 50776, + "[XXXXX70]": 50053, + "[XXXXX710]": 50336, + "[XXXXX711]": 50765, + "[XXXXX712]": 50224, + "[XXXXX713]": 50599, + "[XXXXX714]": 50207, + "[XXXXX715]": 51043, + "[XXXXX716]": 51090, + "[XXXXX717]": 50006, + "[XXXXX718]": 50901, + "[XXXXX719]": 51001, + "[XXXXX71]": 50954, + "[XXXXX720]": 50646, + "[XXXXX721]": 50075, + "[XXXXX722]": 51120, + "[XXXXX723]": 50215, + "[XXXXX724]": 50415, + "[XXXXX725]": 50154, + "[XXXXX726]": 50935, + "[XXXXX727]": 50545, + "[XXXXX728]": 51085, + "[XXXXX729]": 50256, + "[XXXXX72]": 50363, + "[XXXXX730]": 50700, + "[XXXXX731]": 50262, + "[XXXXX732]": 50930, + "[XXXXX733]": 50333, + "[XXXXX734]": 50884, + "[XXXXX735]": 51030, + "[XXXXX736]": 50231, + "[XXXXX737]": 50405, + "[XXXXX738]": 50962, + "[XXXXX739]": 50458, + "[XXXXX73]": 50019, + "[XXXXX740]": 50878, + "[XXXXX741]": 50910, + "[XXXXX742]": 50170, + "[XXXXX743]": 50718, + "[XXXXX744]": 50616, + "[XXXXX745]": 50358, + "[XXXXX746]": 50152, + "[XXXXX747]": 50525, + "[XXXXX748]": 51167, + "[XXXXX749]": 50653, + "[XXXXX74]": 50952, + "[XXXXX750]": 50500, + "[XXXXX751]": 50446, + "[XXXXX752]": 50995, + "[XXXXX753]": 50945, + "[XXXXX754]": 51173, + "[XXXXX755]": 50823, + "[XXXXX756]": 51060, + "[XXXXX757]": 50748, + "[XXXXX758]": 50020, + "[XXXXX759]": 50197, + "[XXXXX75]": 50502, + "[XXXXX760]": 50291, + "[XXXXX761]": 50821, + "[XXXXX762]": 50190, + "[XXXXX763]": 50745, + "[XXXXX764]": 50778, + "[XXXXX765]": 50556, + "[XXXXX766]": 51161, + "[XXXXX767]": 50466, + "[XXXXX768]": 50792, + "[XXXXX769]": 50208, + "[XXXXX76]": 50169, + "[XXXXX770]": 50647, + "[XXXXX771]": 50610, + "[XXXXX772]": 51140, + "[XXXXX773]": 50441, + "[XXXXX774]": 50870, + "[XXXXX775]": 50368, + "[XXXXX776]": 50026, + "[XXXXX777]": 50677, + "[XXXXX778]": 51168, + "[XXXXX779]": 50481, + "[XXXXX77]": 50515, + "[XXXXX780]": 50225, + "[XXXXX781]": 50408, + "[XXXXX782]": 50090, + "[XXXXX783]": 50951, + "[XXXXX784]": 50015, + "[XXXXX785]": 50658, + "[XXXXX786]": 50617, + "[XXXXX787]": 50721, + "[XXXXX788]": 51084, + "[XXXXX789]": 50830, + "[XXXXX78]": 50100, + "[XXXXX790]": 50606, + "[XXXXX791]": 50124, + "[XXXXX792]": 50078, + "[XXXXX793]": 51188, + "[XXXXX794]": 50750, + "[XXXXX795]": 50138, + "[XXXXX796]": 50239, + "[XXXXX797]": 50385, + "[XXXXX798]": 50780, + "[XXXXX799]": 50683, + "[XXXXX79]": 50436, + "[XXXXX7]": 50211, + "[XXXXX800]": 51185, + "[XXXXX801]": 50250, + "[XXXXX802]": 50456, + "[XXXXX803]": 50508, + "[XXXXX804]": 51194, + "[XXXXX805]": 50021, + "[XXXXX806]": 50307, + "[XXXXX807]": 50199, + "[XXXXX808]": 51129, + "[XXXXX809]": 50686, + "[XXXXX80]": 50370, + "[XXXXX810]": 50343, + "[XXXXX811]": 50614, + "[XXXXX812]": 50636, + "[XXXXX813]": 51198, + "[XXXXX814]": 50788, + "[XXXXX815]": 50120, + "[XXXXX816]": 50135, + "[XXXXX817]": 50293, + "[XXXXX818]": 50153, + "[XXXXX819]": 50516, + "[XXXXX81]": 50581, + "[XXXXX820]": 50586, + "[XXXXX821]": 50509, + "[XXXXX822]": 50220, + "[XXXXX823]": 51068, + "[XXXXX824]": 50946, + "[XXXXX825]": 50965, + "[XXXXX826]": 50032, + "[XXXXX827]": 50156, + "[XXXXX828]": 50449, + "[XXXXX829]": 50531, + "[XXXXX82]": 51164, + "[XXXXX830]": 50486, + "[XXXXX831]": 50357, + "[XXXXX832]": 51022, + "[XXXXX833]": 50633, + "[XXXXX834]": 50754, + "[XXXXX835]": 51134, + "[XXXXX836]": 50193, + "[XXXXX837]": 51088, + "[XXXXX838]": 50722, + "[XXXXX839]": 50756, + "[XXXXX83]": 50977, + "[XXXXX840]": 50022, + "[XXXXX841]": 51186, + "[XXXXX842]": 50575, + "[XXXXX843]": 50079, + "[XXXXX844]": 50644, + "[XXXXX845]": 51033, + "[XXXXX846]": 50454, + "[XXXXX847]": 50095, + "[XXXXX848]": 50902, + "[XXXXX849]": 50597, + "[XXXXX84]": 50167, + "[XXXXX850]": 51051, + "[XXXXX851]": 50696, + "[XXXXX852]": 50966, + "[XXXXX853]": 50034, + "[XXXXX854]": 50889, + "[XXXXX855]": 50843, + "[XXXXX856]": 50963, + "[XXXXX857]": 50227, + "[XXXXX858]": 51058, + "[XXXXX859]": 50850, + "[XXXXX85]": 50192, + "[XXXXX860]": 50228, + "[XXXXX861]": 50570, + "[XXXXX862]": 50488, + "[XXXXX863]": 50539, + "[XXXXX864]": 51182, + "[XXXXX865]": 50990, + "[XXXXX866]": 50542, + "[XXXXX867]": 51069, + "[XXXXX868]": 50480, + "[XXXXX869]": 50847, + "[XXXXX86]": 50874, + "[XXXXX870]": 50308, + "[XXXXX871]": 50510, + "[XXXXX872]": 50423, + "[XXXXX873]": 50086, + "[XXXXX874]": 50591, + "[XXXXX875]": 50728, + "[XXXXX876]": 50372, + "[XXXXX877]": 50903, + "[XXXXX878]": 50868, + "[XXXXX879]": 50763, + "[XXXXX87]": 50571, + "[XXXXX880]": 50096, + "[XXXXX881]": 51150, + "[XXXXX882]": 50460, + "[XXXXX883]": 51087, + "[XXXXX884]": 51093, + "[XXXXX885]": 50295, + "[XXXXX886]": 51037, + "[XXXXX887]": 51171, + "[XXXXX888]": 50794, + "[XXXXX889]": 50628, + "[XXXXX88]": 50520, + "[XXXXX890]": 51172, + "[XXXXX891]": 51046, + "[XXXXX892]": 50918, + "[XXXXX893]": 50998, + "[XXXXX894]": 50371, + "[XXXXX895]": 51155, + "[XXXXX896]": 50866, + "[XXXXX897]": 50229, + "[XXXXX898]": 51057, + "[XXXXX899]": 50867, + "[XXXXX89]": 50537, + "[XXXXX8]": 50784, + "[XXXXX900]": 50739, + "[XXXXX901]": 51080, + "[XXXXX902]": 50038, + "[XXXXX903]": 50321, + "[XXXXX904]": 50774, + "[XXXXX905]": 50974, + "[XXXXX906]": 50920, + "[XXXXX907]": 50469, + "[XXXXX908]": 51122, + "[XXXXX909]": 51092, + "[XXXXX90]": 50514, + "[XXXXX910]": 50798, + "[XXXXX911]": 50245, + "[XXXXX912]": 50367, + "[XXXXX913]": 50618, + "[XXXXX914]": 50072, + "[XXXXX915]": 50450, + "[XXXXX916]": 51189, + "[XXXXX917]": 50485, + "[XXXXX918]": 50283, + "[XXXXX919]": 50845, + "[XXXXX91]": 50968, + "[XXXXX920]": 50429, + "[XXXXX921]": 50364, + "[XXXXX922]": 50782, + "[XXXXX923]": 50534, + "[XXXXX924]": 50059, + "[XXXXX925]": 50102, + "[XXXXX926]": 50185, + "[XXXXX927]": 50634, + "[XXXXX928]": 50567, + "[XXXXX929]": 50895, + "[XXXXX92]": 50210, + "[XXXXX930]": 50561, + "[XXXXX931]": 51021, + "[XXXXX932]": 50107, + "[XXXXX933]": 50407, + "[XXXXX934]": 50654, + "[XXXXX935]": 50268, + "[XXXXX936]": 51153, + "[XXXXX937]": 50552, + "[XXXXX938]": 50526, + "[XXXXX939]": 50322, + "[XXXXX93]": 50912, + "[XXXXX940]": 50296, + "[XXXXX941]": 50572, + "[XXXXX942]": 50393, + "[XXXXX943]": 50312, + "[XXXXX944]": 50592, + "[XXXXX945]": 50982, + "[XXXXX946]": 50089, + "[XXXXX947]": 50331, + "[XXXXX948]": 50279, + "[XXXXX949]": 51005, + "[XXXXX94]": 50198, + "[XXXXX950]": 50114, + "[XXXXX951]": 50074, + "[XXXXX952]": 50248, + "[XXXXX953]": 50857, + "[XXXXX954]": 50841, + "[XXXXX955]": 51065, + "[XXXXX956]": 50234, + "[XXXXX957]": 50834, + "[XXXXX958]": 50535, + "[XXXXX959]": 51109, + "[XXXXX95]": 50651, + "[XXXXX960]": 50797, + "[XXXXX961]": 50914, + "[XXXXX962]": 50112, + "[XXXXX963]": 50073, + "[XXXXX964]": 50559, + "[XXXXX965]": 50933, + "[XXXXX966]": 50619, + "[XXXXX967]": 51187, + "[XXXXX968]": 50327, + "[XXXXX969]": 50698, + "[XXXXX96]": 50420, + "[XXXXX970]": 50060, + "[XXXXX971]": 50432, + "[XXXXX972]": 50620, + "[XXXXX973]": 50693, + "[XXXXX974]": 50938, + "[XXXXX975]": 50983, + "[XXXXX976]": 50334, + "[XXXXX977]": 50438, + "[XXXXX978]": 51154, + "[XXXXX979]": 50964, + "[XXXXX97]": 50672, + "[XXXXX980]": 50511, + "[XXXXX981]": 50244, + "[XXXXX982]": 50266, + "[XXXXX983]": 50134, + "[XXXXX984]": 50338, + "[XXXXX985]": 51121, + "[XXXXX986]": 50323, + "[XXXXX987]": 50909, + "[XXXXX988]": 51000, + "[XXXXX989]": 50036, + "[XXXXX98]": 50787, + "[XXXXX990]": 50512, + "[XXXXX991]": 50191, + "[XXXXX992]": 50187, + "[XXXXX993]": 51156, + "[XXXXX994]": 51135, + "[XXXXX995]": 50355, + "[XXXXX996]": 51027, + "[XXXXX997]": 50297, + "[XXXXX998]": 50928, + "[XXXXX999]": 50697, + "[XXXXX99]": 50980, + "[XXXXX9]": 50961 +} diff --git a/checkpoint-9500/config.json b/checkpoint-9500/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/checkpoint-9500/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/checkpoint-9500/generation_config.json b/checkpoint-9500/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/checkpoint-9500/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/checkpoint-9500/model.safetensors b/checkpoint-9500/model.safetensors new file mode 100644 index 0000000..2dc34dd --- /dev/null +++ b/checkpoint-9500/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7e851c6e2cb7e8569457be33f0640be21b95e2cc8b4abd9299d1408ea4c6a23 +size 78179408 diff --git a/checkpoint-9500/rng_state.pth b/checkpoint-9500/rng_state.pth new file mode 100644 index 0000000..1db5c8c --- /dev/null +++ b/checkpoint-9500/rng_state.pth @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:293fcdf87ac9a94888e647964272463909c8f861cba3c25286fdecf7bd6c31c1 +size 14645 diff --git a/checkpoint-9500/special_tokens_map.json b/checkpoint-9500/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/checkpoint-9500/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/checkpoint-9500/spiece.model b/checkpoint-9500/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/checkpoint-9500/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/checkpoint-9500/tokenizer_config.json b/checkpoint-9500/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/checkpoint-9500/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/checkpoint-9500/trainer_state.json b/checkpoint-9500/trainer_state.json new file mode 100644 index 0000000..4b94e3b --- /dev/null +++ b/checkpoint-9500/trainer_state.json @@ -0,0 +1,19243 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 8.161581435324452, + "eval_steps": 500, + "global_step": 9500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "entropy": 7.6312949657440186, + "epoch": 0.004297378599054577, + "grad_norm": 0.94921875, + "learning_rate": 2e-06, + "loss": 7.384, + "mean_token_accuracy": 0.09047168418765068, + "num_tokens": 10107.0, + "step": 5 + }, + { + "entropy": 7.674387979507446, + "epoch": 0.008594757198109154, + "grad_norm": 1.1484375, + "learning_rate": 4.5e-06, + "loss": 7.3814, + "mean_token_accuracy": 0.09915048182010651, + "num_tokens": 18391.0, + "step": 10 + }, + { + "entropy": 7.658490705490112, + "epoch": 0.01289213579716373, + "grad_norm": 1.015625, + "learning_rate": 7e-06, + "loss": 7.4194, + "mean_token_accuracy": 0.09372682273387908, + "num_tokens": 27061.0, + "step": 15 + }, + { + "entropy": 7.6485553741455075, + "epoch": 0.017189514396218308, + "grad_norm": 1.09375, + "learning_rate": 9.5e-06, + "loss": 7.4387, + "mean_token_accuracy": 0.09950413554906845, + "num_tokens": 36339.0, + "step": 20 + }, + { + "entropy": 7.655299663543701, + "epoch": 0.021486892995272882, + "grad_norm": 0.95703125, + "learning_rate": 1.2e-05, + "loss": 7.4336, + "mean_token_accuracy": 0.09199422970414162, + "num_tokens": 45770.0, + "step": 25 + }, + { + "entropy": 7.707321071624756, + "epoch": 0.02578427159432746, + "grad_norm": 0.96875, + "learning_rate": 1.4500000000000002e-05, + "loss": 7.4406, + "mean_token_accuracy": 0.09267855286598206, + "num_tokens": 54575.0, + "step": 30 + }, + { + "entropy": 7.718957376480103, + "epoch": 0.030081650193382038, + "grad_norm": 0.97265625, + "learning_rate": 1.7000000000000003e-05, + "loss": 7.5222, + "mean_token_accuracy": 0.08976790606975556, + "num_tokens": 66403.0, + "step": 35 + }, + { + "entropy": 7.742082262039185, + "epoch": 0.034379028792436615, + "grad_norm": 0.87890625, + "learning_rate": 1.95e-05, + "loss": 7.4377, + "mean_token_accuracy": 0.09164252653717994, + "num_tokens": 76510.0, + "step": 40 + }, + { + "entropy": 7.745701646804809, + "epoch": 0.03867640739149119, + "grad_norm": 0.99609375, + "learning_rate": 2.2e-05, + "loss": 7.358, + "mean_token_accuracy": 0.0955798089504242, + "num_tokens": 84836.0, + "step": 45 + }, + { + "entropy": 7.780595874786377, + "epoch": 0.042973785990545764, + "grad_norm": 0.984375, + "learning_rate": 2.4500000000000003e-05, + "loss": 7.3289, + "mean_token_accuracy": 0.10552914068102837, + "num_tokens": 93197.0, + "step": 50 + }, + { + "entropy": 7.764179325103759, + "epoch": 0.047271164589600345, + "grad_norm": 0.98828125, + "learning_rate": 2.7e-05, + "loss": 7.3234, + "mean_token_accuracy": 0.09917277097702026, + "num_tokens": 101546.0, + "step": 55 + }, + { + "entropy": 7.719727945327759, + "epoch": 0.05156854318865492, + "grad_norm": 0.8515625, + "learning_rate": 2.95e-05, + "loss": 7.4172, + "mean_token_accuracy": 0.0928034670650959, + "num_tokens": 111703.0, + "step": 60 + }, + { + "entropy": 7.748228645324707, + "epoch": 0.055865921787709494, + "grad_norm": 0.95703125, + "learning_rate": 3.2e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.10037123262882233, + "num_tokens": 119894.0, + "step": 65 + }, + { + "entropy": 7.714352416992187, + "epoch": 0.060163300386764075, + "grad_norm": 0.89453125, + "learning_rate": 3.4500000000000005e-05, + "loss": 7.2915, + "mean_token_accuracy": 0.1022428810596466, + "num_tokens": 128885.0, + "step": 70 + }, + { + "entropy": 7.679376173019409, + "epoch": 0.06446067898581866, + "grad_norm": 0.8984375, + "learning_rate": 3.7e-05, + "loss": 7.4226, + "mean_token_accuracy": 0.0972097434103489, + "num_tokens": 138106.0, + "step": 75 + }, + { + "entropy": 7.72790002822876, + "epoch": 0.06875805758487323, + "grad_norm": 1.140625, + "learning_rate": 3.95e-05, + "loss": 7.3294, + "mean_token_accuracy": 0.1022751808166504, + "num_tokens": 146691.0, + "step": 80 + }, + { + "entropy": 7.730126142501831, + "epoch": 0.0730554361839278, + "grad_norm": 0.99609375, + "learning_rate": 4.2000000000000004e-05, + "loss": 7.382, + "mean_token_accuracy": 0.09973402544856072, + "num_tokens": 155792.0, + "step": 85 + }, + { + "entropy": 7.727601718902588, + "epoch": 0.07735281478298238, + "grad_norm": 0.89453125, + "learning_rate": 4.45e-05, + "loss": 7.4474, + "mean_token_accuracy": 0.08758748695254326, + "num_tokens": 166944.0, + "step": 90 + }, + { + "entropy": 7.782265329360962, + "epoch": 0.08165019338203695, + "grad_norm": 0.98828125, + "learning_rate": 4.7000000000000004e-05, + "loss": 7.2886, + "mean_token_accuracy": 0.1041356198489666, + "num_tokens": 175303.0, + "step": 95 + }, + { + "entropy": 7.751953029632569, + "epoch": 0.08594757198109153, + "grad_norm": 1.0078125, + "learning_rate": 4.9500000000000004e-05, + "loss": 7.3403, + "mean_token_accuracy": 0.09793160557746887, + "num_tokens": 184708.0, + "step": 100 + }, + { + "entropy": 7.702822208404541, + "epoch": 0.09024495058014612, + "grad_norm": 0.921875, + "learning_rate": 5.2e-05, + "loss": 7.3117, + "mean_token_accuracy": 0.09851032048463822, + "num_tokens": 193835.0, + "step": 105 + }, + { + "entropy": 7.686660861968994, + "epoch": 0.09454232917920069, + "grad_norm": 1.1328125, + "learning_rate": 5.45e-05, + "loss": 7.3479, + "mean_token_accuracy": 0.0979080393910408, + "num_tokens": 203344.0, + "step": 110 + }, + { + "entropy": 7.698584461212159, + "epoch": 0.09883970777825526, + "grad_norm": 0.9296875, + "learning_rate": 5.7e-05, + "loss": 7.4586, + "mean_token_accuracy": 0.09130895733833314, + "num_tokens": 213048.0, + "step": 115 + }, + { + "entropy": 7.781258678436279, + "epoch": 0.10313708637730984, + "grad_norm": 1.109375, + "learning_rate": 5.9499999999999996e-05, + "loss": 7.3094, + "mean_token_accuracy": 0.10353164449334144, + "num_tokens": 221784.0, + "step": 120 + }, + { + "entropy": 7.650211572647095, + "epoch": 0.10743446497636441, + "grad_norm": 1.0078125, + "learning_rate": 6.2e-05, + "loss": 7.3189, + "mean_token_accuracy": 0.09726176261901856, + "num_tokens": 230971.0, + "step": 125 + }, + { + "entropy": 7.655170726776123, + "epoch": 0.11173184357541899, + "grad_norm": 0.96484375, + "learning_rate": 6.450000000000001e-05, + "loss": 7.2818, + "mean_token_accuracy": 0.1042576052248478, + "num_tokens": 240524.0, + "step": 130 + }, + { + "entropy": 7.7341550350189205, + "epoch": 0.11602922217447358, + "grad_norm": 0.88671875, + "learning_rate": 6.7e-05, + "loss": 7.2512, + "mean_token_accuracy": 0.1007460281252861, + "num_tokens": 249220.0, + "step": 135 + }, + { + "entropy": 7.745693302154541, + "epoch": 0.12032660077352815, + "grad_norm": 1.0234375, + "learning_rate": 6.950000000000001e-05, + "loss": 7.3688, + "mean_token_accuracy": 0.10030856803059578, + "num_tokens": 258934.0, + "step": 140 + }, + { + "entropy": 7.694993305206299, + "epoch": 0.12462397937258272, + "grad_norm": 1.0234375, + "learning_rate": 7.2e-05, + "loss": 7.2936, + "mean_token_accuracy": 0.10321335718035698, + "num_tokens": 267680.0, + "step": 145 + }, + { + "entropy": 7.719129991531372, + "epoch": 0.1289213579716373, + "grad_norm": 1.0078125, + "learning_rate": 7.45e-05, + "loss": 7.3236, + "mean_token_accuracy": 0.10207543894648552, + "num_tokens": 276227.0, + "step": 150 + }, + { + "entropy": 7.648375129699707, + "epoch": 0.1332187365706919, + "grad_norm": 0.94921875, + "learning_rate": 7.7e-05, + "loss": 7.2203, + "mean_token_accuracy": 0.1059327855706215, + "num_tokens": 286342.0, + "step": 155 + }, + { + "entropy": 7.674158382415771, + "epoch": 0.13751611516974646, + "grad_norm": 1.0625, + "learning_rate": 7.950000000000001e-05, + "loss": 7.2988, + "mean_token_accuracy": 0.09665355160832405, + "num_tokens": 294994.0, + "step": 160 + }, + { + "entropy": 7.717900514602661, + "epoch": 0.14181349376880104, + "grad_norm": 1.046875, + "learning_rate": 8.2e-05, + "loss": 7.2704, + "mean_token_accuracy": 0.10349940955638885, + "num_tokens": 303882.0, + "step": 165 + }, + { + "entropy": 7.6729988098144535, + "epoch": 0.1461108723678556, + "grad_norm": 0.9609375, + "learning_rate": 8.450000000000001e-05, + "loss": 7.3104, + "mean_token_accuracy": 0.10128599181771278, + "num_tokens": 312515.0, + "step": 170 + }, + { + "entropy": 7.739007139205933, + "epoch": 0.15040825096691018, + "grad_norm": 1.2109375, + "learning_rate": 8.7e-05, + "loss": 7.27, + "mean_token_accuracy": 0.10081852003931999, + "num_tokens": 320801.0, + "step": 175 + }, + { + "entropy": 7.720875406265259, + "epoch": 0.15470562956596476, + "grad_norm": 1.015625, + "learning_rate": 8.95e-05, + "loss": 7.2872, + "mean_token_accuracy": 0.10100285485386848, + "num_tokens": 329382.0, + "step": 180 + }, + { + "entropy": 7.66646089553833, + "epoch": 0.15900300816501933, + "grad_norm": 1.0390625, + "learning_rate": 9.2e-05, + "loss": 7.2814, + "mean_token_accuracy": 0.1028428927063942, + "num_tokens": 337894.0, + "step": 185 + }, + { + "entropy": 7.772510719299317, + "epoch": 0.1633003867640739, + "grad_norm": 1.125, + "learning_rate": 9.45e-05, + "loss": 7.2803, + "mean_token_accuracy": 0.10378619506955147, + "num_tokens": 346380.0, + "step": 190 + }, + { + "entropy": 7.690706968307495, + "epoch": 0.16759776536312848, + "grad_norm": 0.890625, + "learning_rate": 9.7e-05, + "loss": 7.3588, + "mean_token_accuracy": 0.09733301475644111, + "num_tokens": 356305.0, + "step": 195 + }, + { + "entropy": 7.79454927444458, + "epoch": 0.17189514396218306, + "grad_norm": 1.0078125, + "learning_rate": 9.95e-05, + "loss": 7.306, + "mean_token_accuracy": 0.09683404862880707, + "num_tokens": 364899.0, + "step": 200 + }, + { + "entropy": 7.694888687133789, + "epoch": 0.17619252256123766, + "grad_norm": 1.015625, + "learning_rate": 0.000102, + "loss": 7.2938, + "mean_token_accuracy": 0.09810400977730752, + "num_tokens": 373663.0, + "step": 205 + }, + { + "entropy": 7.748025798797608, + "epoch": 0.18048990116029223, + "grad_norm": 1.1640625, + "learning_rate": 0.00010449999999999999, + "loss": 7.2566, + "mean_token_accuracy": 0.10043591782450675, + "num_tokens": 382730.0, + "step": 210 + }, + { + "entropy": 7.706165361404419, + "epoch": 0.1847872797593468, + "grad_norm": 1.1328125, + "learning_rate": 0.000107, + "loss": 7.3157, + "mean_token_accuracy": 0.09612104147672654, + "num_tokens": 392676.0, + "step": 215 + }, + { + "entropy": 7.760982656478882, + "epoch": 0.18908465835840138, + "grad_norm": 1.2265625, + "learning_rate": 0.0001095, + "loss": 7.2955, + "mean_token_accuracy": 0.10281639397144318, + "num_tokens": 401050.0, + "step": 220 + }, + { + "entropy": 7.626513719558716, + "epoch": 0.19338203695745596, + "grad_norm": 1.078125, + "learning_rate": 0.000112, + "loss": 7.2692, + "mean_token_accuracy": 0.10119878426194191, + "num_tokens": 410009.0, + "step": 225 + }, + { + "entropy": 7.726489019393921, + "epoch": 0.19767941555651053, + "grad_norm": 0.98828125, + "learning_rate": 0.0001145, + "loss": 7.2683, + "mean_token_accuracy": 0.10186234638094901, + "num_tokens": 419302.0, + "step": 230 + }, + { + "entropy": 7.643717670440674, + "epoch": 0.2019767941555651, + "grad_norm": 1.109375, + "learning_rate": 0.00011700000000000001, + "loss": 7.1665, + "mean_token_accuracy": 0.10647615045309067, + "num_tokens": 427296.0, + "step": 235 + }, + { + "entropy": 7.666737127304077, + "epoch": 0.20627417275461968, + "grad_norm": 1.125, + "learning_rate": 0.00011949999999999999, + "loss": 7.3139, + "mean_token_accuracy": 0.10131902173161507, + "num_tokens": 436368.0, + "step": 240 + }, + { + "entropy": 7.772911167144775, + "epoch": 0.21057155135367425, + "grad_norm": 1.046875, + "learning_rate": 0.000122, + "loss": 7.2112, + "mean_token_accuracy": 0.1055280588567257, + "num_tokens": 445535.0, + "step": 245 + }, + { + "entropy": 7.602903366088867, + "epoch": 0.21486892995272883, + "grad_norm": 1.046875, + "learning_rate": 0.0001245, + "loss": 7.2153, + "mean_token_accuracy": 0.10406075567007064, + "num_tokens": 454769.0, + "step": 250 + }, + { + "entropy": 7.693030595779419, + "epoch": 0.2191663085517834, + "grad_norm": 1.125, + "learning_rate": 0.000127, + "loss": 7.2315, + "mean_token_accuracy": 0.10270996242761612, + "num_tokens": 463975.0, + "step": 255 + }, + { + "entropy": 7.637308835983276, + "epoch": 0.22346368715083798, + "grad_norm": 1.109375, + "learning_rate": 0.0001295, + "loss": 7.2542, + "mean_token_accuracy": 0.10225536078214645, + "num_tokens": 472899.0, + "step": 260 + }, + { + "entropy": 7.740519666671753, + "epoch": 0.22776106574989258, + "grad_norm": 1.09375, + "learning_rate": 0.000132, + "loss": 7.229, + "mean_token_accuracy": 0.1005932256579399, + "num_tokens": 481556.0, + "step": 265 + }, + { + "entropy": 7.654651689529419, + "epoch": 0.23205844434894715, + "grad_norm": 1.0625, + "learning_rate": 0.00013450000000000002, + "loss": 7.2258, + "mean_token_accuracy": 0.10702893435955048, + "num_tokens": 490253.0, + "step": 270 + }, + { + "entropy": 7.660864973068238, + "epoch": 0.23635582294800173, + "grad_norm": 1.2265625, + "learning_rate": 0.00013700000000000002, + "loss": 7.2451, + "mean_token_accuracy": 0.10333684608340263, + "num_tokens": 498444.0, + "step": 275 + }, + { + "entropy": 7.637535953521729, + "epoch": 0.2406532015470563, + "grad_norm": 0.98046875, + "learning_rate": 0.0001395, + "loss": 7.191, + "mean_token_accuracy": 0.10794568434357643, + "num_tokens": 508330.0, + "step": 280 + }, + { + "entropy": 7.6566917419433596, + "epoch": 0.24495058014611087, + "grad_norm": 1.234375, + "learning_rate": 0.00014199999999999998, + "loss": 7.3004, + "mean_token_accuracy": 0.10417937636375427, + "num_tokens": 517900.0, + "step": 285 + }, + { + "entropy": 7.670303010940552, + "epoch": 0.24924795874516545, + "grad_norm": 1.1484375, + "learning_rate": 0.0001445, + "loss": 7.2276, + "mean_token_accuracy": 0.10308908969163895, + "num_tokens": 527808.0, + "step": 290 + }, + { + "entropy": 7.719700765609741, + "epoch": 0.25354533734422, + "grad_norm": 1.1484375, + "learning_rate": 0.000147, + "loss": 7.2415, + "mean_token_accuracy": 0.10010977610945701, + "num_tokens": 536931.0, + "step": 295 + }, + { + "entropy": 7.668509387969971, + "epoch": 0.2578427159432746, + "grad_norm": 1.1796875, + "learning_rate": 0.0001495, + "loss": 7.279, + "mean_token_accuracy": 0.10248880609869956, + "num_tokens": 545758.0, + "step": 300 + }, + { + "entropy": 7.700217819213867, + "epoch": 0.26214009454232917, + "grad_norm": 1.0390625, + "learning_rate": 0.000152, + "loss": 7.2819, + "mean_token_accuracy": 0.10198702886700631, + "num_tokens": 555165.0, + "step": 305 + }, + { + "entropy": 7.6267822265625, + "epoch": 0.2664374731413838, + "grad_norm": 1.1171875, + "learning_rate": 0.00015450000000000001, + "loss": 7.2035, + "mean_token_accuracy": 0.10117841735482216, + "num_tokens": 564719.0, + "step": 310 + }, + { + "entropy": 7.646708202362061, + "epoch": 0.2707348517404383, + "grad_norm": 1.0859375, + "learning_rate": 0.000157, + "loss": 7.1638, + "mean_token_accuracy": 0.10670615658164025, + "num_tokens": 573572.0, + "step": 315 + }, + { + "entropy": 7.759027910232544, + "epoch": 0.2750322303394929, + "grad_norm": 1.3984375, + "learning_rate": 0.0001595, + "loss": 7.3476, + "mean_token_accuracy": 0.10210367739200592, + "num_tokens": 581497.0, + "step": 320 + }, + { + "entropy": 7.590592908859253, + "epoch": 0.27932960893854747, + "grad_norm": 1.125, + "learning_rate": 0.000162, + "loss": 7.2138, + "mean_token_accuracy": 0.10664469674229622, + "num_tokens": 591107.0, + "step": 325 + }, + { + "entropy": 7.70356388092041, + "epoch": 0.28362698753760207, + "grad_norm": 1.0546875, + "learning_rate": 0.00016450000000000001, + "loss": 7.2482, + "mean_token_accuracy": 0.1050640620291233, + "num_tokens": 600241.0, + "step": 330 + }, + { + "entropy": 7.639587259292602, + "epoch": 0.2879243661366566, + "grad_norm": 1.0703125, + "learning_rate": 0.00016700000000000002, + "loss": 7.161, + "mean_token_accuracy": 0.1065776713192463, + "num_tokens": 608697.0, + "step": 335 + }, + { + "entropy": 7.602131795883179, + "epoch": 0.2922217447357112, + "grad_norm": 1.1484375, + "learning_rate": 0.00016950000000000003, + "loss": 7.1698, + "mean_token_accuracy": 0.1098954938352108, + "num_tokens": 617275.0, + "step": 340 + }, + { + "entropy": 7.669042348861694, + "epoch": 0.29651912333476577, + "grad_norm": 1.0859375, + "learning_rate": 0.00017199999999999998, + "loss": 7.2602, + "mean_token_accuracy": 0.1007254920899868, + "num_tokens": 626644.0, + "step": 345 + }, + { + "entropy": 7.623440217971802, + "epoch": 0.30081650193382037, + "grad_norm": 1.1171875, + "learning_rate": 0.00017449999999999999, + "loss": 7.1639, + "mean_token_accuracy": 0.1080157920718193, + "num_tokens": 635110.0, + "step": 350 + }, + { + "entropy": 7.711002826690674, + "epoch": 0.30511388053287497, + "grad_norm": 0.97265625, + "learning_rate": 0.000177, + "loss": 7.3139, + "mean_token_accuracy": 0.10216462090611458, + "num_tokens": 644746.0, + "step": 355 + }, + { + "entropy": 7.708708238601685, + "epoch": 0.3094112591319295, + "grad_norm": 1.234375, + "learning_rate": 0.0001795, + "loss": 7.2216, + "mean_token_accuracy": 0.1021303728222847, + "num_tokens": 654281.0, + "step": 360 + }, + { + "entropy": 7.534019136428833, + "epoch": 0.3137086377309841, + "grad_norm": 1.234375, + "learning_rate": 0.000182, + "loss": 7.2333, + "mean_token_accuracy": 0.10576817691326142, + "num_tokens": 663174.0, + "step": 365 + }, + { + "entropy": 7.660452365875244, + "epoch": 0.31800601633003867, + "grad_norm": 1.0625, + "learning_rate": 0.0001845, + "loss": 7.1525, + "mean_token_accuracy": 0.10541519671678543, + "num_tokens": 672178.0, + "step": 370 + }, + { + "entropy": 7.651990938186645, + "epoch": 0.32230339492909327, + "grad_norm": 1.1484375, + "learning_rate": 0.000187, + "loss": 7.1748, + "mean_token_accuracy": 0.10421534106135369, + "num_tokens": 681323.0, + "step": 375 + }, + { + "entropy": 7.537337684631348, + "epoch": 0.3266007735281478, + "grad_norm": 0.98046875, + "learning_rate": 0.0001895, + "loss": 7.1001, + "mean_token_accuracy": 0.11140918657183647, + "num_tokens": 690461.0, + "step": 380 + }, + { + "entropy": 7.596573305130005, + "epoch": 0.3308981521272024, + "grad_norm": 1.2734375, + "learning_rate": 0.000192, + "loss": 7.1461, + "mean_token_accuracy": 0.10594902262091636, + "num_tokens": 699199.0, + "step": 385 + }, + { + "entropy": 7.566946506500244, + "epoch": 0.33519553072625696, + "grad_norm": 1.2265625, + "learning_rate": 0.0001945, + "loss": 7.109, + "mean_token_accuracy": 0.11522968709468842, + "num_tokens": 707949.0, + "step": 390 + }, + { + "entropy": 7.66830849647522, + "epoch": 0.33949290932531156, + "grad_norm": 1.15625, + "learning_rate": 0.00019700000000000002, + "loss": 7.1843, + "mean_token_accuracy": 0.10416831225156784, + "num_tokens": 715752.0, + "step": 395 + }, + { + "entropy": 7.619978666305542, + "epoch": 0.3437902879243661, + "grad_norm": 1.2734375, + "learning_rate": 0.00019950000000000002, + "loss": 7.1119, + "mean_token_accuracy": 0.11198346018791198, + "num_tokens": 724416.0, + "step": 400 + }, + { + "entropy": 7.594716548919678, + "epoch": 0.3480876665234207, + "grad_norm": 1.3203125, + "learning_rate": 0.000202, + "loss": 7.1774, + "mean_token_accuracy": 0.10296614542603492, + "num_tokens": 733116.0, + "step": 405 + }, + { + "entropy": 7.614369249343872, + "epoch": 0.3523850451224753, + "grad_norm": 1.265625, + "learning_rate": 0.00020449999999999998, + "loss": 7.1639, + "mean_token_accuracy": 0.10737873241305351, + "num_tokens": 742093.0, + "step": 410 + }, + { + "entropy": 7.532227945327759, + "epoch": 0.35668242372152986, + "grad_norm": 1.1640625, + "learning_rate": 0.000207, + "loss": 7.1385, + "mean_token_accuracy": 0.11264142915606498, + "num_tokens": 750402.0, + "step": 415 + }, + { + "entropy": 7.510246276855469, + "epoch": 0.36097980232058446, + "grad_norm": 1.0625, + "learning_rate": 0.0002095, + "loss": 7.1129, + "mean_token_accuracy": 0.11108387559652329, + "num_tokens": 760961.0, + "step": 420 + }, + { + "entropy": 7.720337963104248, + "epoch": 0.365277180919639, + "grad_norm": 1.171875, + "learning_rate": 0.000212, + "loss": 7.2042, + "mean_token_accuracy": 0.10612902790307999, + "num_tokens": 770554.0, + "step": 425 + }, + { + "entropy": 7.437310361862183, + "epoch": 0.3695745595186936, + "grad_norm": 1.328125, + "learning_rate": 0.0002145, + "loss": 7.1596, + "mean_token_accuracy": 0.11299800872802734, + "num_tokens": 779172.0, + "step": 430 + }, + { + "entropy": 7.663910818099976, + "epoch": 0.37387193811774816, + "grad_norm": 1.1953125, + "learning_rate": 0.00021700000000000002, + "loss": 7.2239, + "mean_token_accuracy": 0.10290571823716163, + "num_tokens": 788040.0, + "step": 435 + }, + { + "entropy": 7.589281415939331, + "epoch": 0.37816931671680276, + "grad_norm": 1.125, + "learning_rate": 0.0002195, + "loss": 7.1461, + "mean_token_accuracy": 0.10722599253058433, + "num_tokens": 796786.0, + "step": 440 + }, + { + "entropy": 7.543337059020996, + "epoch": 0.3824666953158573, + "grad_norm": 1.4296875, + "learning_rate": 0.000222, + "loss": 7.1192, + "mean_token_accuracy": 0.10885161831974983, + "num_tokens": 805520.0, + "step": 445 + }, + { + "entropy": 7.486078453063965, + "epoch": 0.3867640739149119, + "grad_norm": 1.3125, + "learning_rate": 0.0002245, + "loss": 7.074, + "mean_token_accuracy": 0.10658745989203453, + "num_tokens": 814939.0, + "step": 450 + }, + { + "entropy": 7.534557342529297, + "epoch": 0.39106145251396646, + "grad_norm": 1.2421875, + "learning_rate": 0.00022700000000000002, + "loss": 7.0766, + "mean_token_accuracy": 0.11227057129144669, + "num_tokens": 823862.0, + "step": 455 + }, + { + "entropy": 7.5476549625396725, + "epoch": 0.39535883111302106, + "grad_norm": 1.15625, + "learning_rate": 0.00022950000000000002, + "loss": 7.1124, + "mean_token_accuracy": 0.10576009079813957, + "num_tokens": 832820.0, + "step": 460 + }, + { + "entropy": 7.601094675064087, + "epoch": 0.39965620971207566, + "grad_norm": 1.234375, + "learning_rate": 0.00023200000000000003, + "loss": 7.0697, + "mean_token_accuracy": 0.11121490225195885, + "num_tokens": 841538.0, + "step": 465 + }, + { + "entropy": 7.544060945510864, + "epoch": 0.4039535883111302, + "grad_norm": 1.1953125, + "learning_rate": 0.00023449999999999998, + "loss": 7.2069, + "mean_token_accuracy": 0.10181558132171631, + "num_tokens": 851123.0, + "step": 470 + }, + { + "entropy": 7.549469089508056, + "epoch": 0.4082509669101848, + "grad_norm": 1.1875, + "learning_rate": 0.000237, + "loss": 7.1633, + "mean_token_accuracy": 0.11091246008872986, + "num_tokens": 860357.0, + "step": 475 + }, + { + "entropy": 7.547894096374511, + "epoch": 0.41254834550923936, + "grad_norm": 1.234375, + "learning_rate": 0.0002395, + "loss": 7.0874, + "mean_token_accuracy": 0.10722309574484826, + "num_tokens": 869980.0, + "step": 480 + }, + { + "entropy": 7.507503604888916, + "epoch": 0.41684572410829396, + "grad_norm": 1.2421875, + "learning_rate": 0.000242, + "loss": 7.0572, + "mean_token_accuracy": 0.11242355704307556, + "num_tokens": 878250.0, + "step": 485 + }, + { + "entropy": 7.5191121101379395, + "epoch": 0.4211431027073485, + "grad_norm": 1.125, + "learning_rate": 0.0002445, + "loss": 7.1411, + "mean_token_accuracy": 0.11158529818058013, + "num_tokens": 887624.0, + "step": 490 + }, + { + "entropy": 7.454204320907593, + "epoch": 0.4254404813064031, + "grad_norm": 1.1640625, + "learning_rate": 0.000247, + "loss": 7.1159, + "mean_token_accuracy": 0.11260272860527039, + "num_tokens": 897120.0, + "step": 495 + }, + { + "entropy": 7.495032835006714, + "epoch": 0.42973785990545765, + "grad_norm": 1.140625, + "learning_rate": 0.0002495, + "loss": 7.0795, + "mean_token_accuracy": 0.11134620234370232, + "num_tokens": 906215.0, + "step": 500 + }, + { + "epoch": 0.42973785990545765, + "eval_entropy": 7.203803374960616, + "eval_loss": 7.096514701843262, + "eval_mean_token_accuracy": 0.11462040213649874, + "eval_num_tokens": 906215.0, + "eval_runtime": 2.0645, + "eval_samples_per_second": 1719.022, + "eval_steps_per_second": 215.059, + "step": 500 + }, + { + "entropy": 7.447824621200562, + "epoch": 0.43403523850451226, + "grad_norm": 1.15625, + "learning_rate": 0.000252, + "loss": 7.0811, + "mean_token_accuracy": 0.1122453585267067, + "num_tokens": 915181.0, + "step": 505 + }, + { + "entropy": 7.498021125793457, + "epoch": 0.4383326171035668, + "grad_norm": 1.328125, + "learning_rate": 0.0002545, + "loss": 7.1044, + "mean_token_accuracy": 0.10958386138081551, + "num_tokens": 924377.0, + "step": 510 + }, + { + "entropy": 7.607626008987427, + "epoch": 0.4426299957026214, + "grad_norm": 1.1796875, + "learning_rate": 0.000257, + "loss": 7.1944, + "mean_token_accuracy": 0.10655399709939957, + "num_tokens": 933114.0, + "step": 515 + }, + { + "entropy": 7.6139122486114506, + "epoch": 0.44692737430167595, + "grad_norm": 1.0625, + "learning_rate": 0.0002595, + "loss": 7.1453, + "mean_token_accuracy": 0.11119715198874473, + "num_tokens": 943306.0, + "step": 520 + }, + { + "entropy": 7.436026573181152, + "epoch": 0.45122475290073055, + "grad_norm": 1.2578125, + "learning_rate": 0.000262, + "loss": 7.0354, + "mean_token_accuracy": 0.11904665902256965, + "num_tokens": 951515.0, + "step": 525 + }, + { + "entropy": 7.494698238372803, + "epoch": 0.45552213149978515, + "grad_norm": 1.2578125, + "learning_rate": 0.00026450000000000003, + "loss": 7.1519, + "mean_token_accuracy": 0.10504961535334587, + "num_tokens": 962686.0, + "step": 530 + }, + { + "entropy": 7.572213172912598, + "epoch": 0.4598195100988397, + "grad_norm": 1.125, + "learning_rate": 0.00026700000000000004, + "loss": 7.1449, + "mean_token_accuracy": 0.11348244249820709, + "num_tokens": 972136.0, + "step": 535 + }, + { + "entropy": 7.405817127227783, + "epoch": 0.4641168886978943, + "grad_norm": 1.2734375, + "learning_rate": 0.00026950000000000005, + "loss": 7.0518, + "mean_token_accuracy": 0.1100372053682804, + "num_tokens": 981301.0, + "step": 540 + }, + { + "entropy": 7.484500360488892, + "epoch": 0.46841426729694885, + "grad_norm": 1.390625, + "learning_rate": 0.00027200000000000005, + "loss": 7.0823, + "mean_token_accuracy": 0.1120329774916172, + "num_tokens": 990360.0, + "step": 545 + }, + { + "entropy": 7.573296546936035, + "epoch": 0.47271164589600345, + "grad_norm": 1.21875, + "learning_rate": 0.0002745, + "loss": 7.1293, + "mean_token_accuracy": 0.10760239511728287, + "num_tokens": 999415.0, + "step": 550 + }, + { + "entropy": 7.419287919998169, + "epoch": 0.477009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.000277, + "loss": 7.057, + "mean_token_accuracy": 0.10999582111835479, + "num_tokens": 1008762.0, + "step": 555 + }, + { + "entropy": 7.44342451095581, + "epoch": 0.4813064030941126, + "grad_norm": 1.2890625, + "learning_rate": 0.0002795, + "loss": 7.0505, + "mean_token_accuracy": 0.11702658385038375, + "num_tokens": 1017704.0, + "step": 560 + }, + { + "entropy": 7.457871007919311, + "epoch": 0.48560378169316715, + "grad_norm": 1.234375, + "learning_rate": 0.00028199999999999997, + "loss": 7.018, + "mean_token_accuracy": 0.11318592131137847, + "num_tokens": 1026251.0, + "step": 565 + }, + { + "entropy": 7.356105470657349, + "epoch": 0.48990116029222175, + "grad_norm": 1.0859375, + "learning_rate": 0.0002845, + "loss": 7.0083, + "mean_token_accuracy": 0.11355392187833786, + "num_tokens": 1036191.0, + "step": 570 + }, + { + "entropy": 7.5119133472442625, + "epoch": 0.4941985388912763, + "grad_norm": 1.1953125, + "learning_rate": 0.000287, + "loss": 7.0501, + "mean_token_accuracy": 0.11168754398822785, + "num_tokens": 1044936.0, + "step": 575 + }, + { + "entropy": 7.406773805618286, + "epoch": 0.4984959174903309, + "grad_norm": 1.171875, + "learning_rate": 0.0002895, + "loss": 7.0476, + "mean_token_accuracy": 0.1135815680027008, + "num_tokens": 1053683.0, + "step": 580 + }, + { + "entropy": 7.3828895568847654, + "epoch": 0.5027932960893855, + "grad_norm": 1.15625, + "learning_rate": 0.000292, + "loss": 7.0283, + "mean_token_accuracy": 0.11782724559307098, + "num_tokens": 1062932.0, + "step": 585 + }, + { + "entropy": 7.4789910316467285, + "epoch": 0.50709067468844, + "grad_norm": 1.0859375, + "learning_rate": 0.0002945, + "loss": 7.0524, + "mean_token_accuracy": 0.11150057762861251, + "num_tokens": 1072313.0, + "step": 590 + }, + { + "entropy": 7.458136653900146, + "epoch": 0.5113880532874946, + "grad_norm": 1.078125, + "learning_rate": 0.000297, + "loss": 7.033, + "mean_token_accuracy": 0.10738502442836761, + "num_tokens": 1081675.0, + "step": 595 + }, + { + "entropy": 7.437460470199585, + "epoch": 0.5156854318865493, + "grad_norm": 1.1875, + "learning_rate": 0.0002995, + "loss": 7.0392, + "mean_token_accuracy": 0.11078862249851226, + "num_tokens": 1091541.0, + "step": 600 + }, + { + "entropy": 7.43347053527832, + "epoch": 0.5199828104856038, + "grad_norm": 1.1171875, + "learning_rate": 0.000302, + "loss": 7.0467, + "mean_token_accuracy": 0.11545747444033623, + "num_tokens": 1100724.0, + "step": 605 + }, + { + "entropy": 7.34070782661438, + "epoch": 0.5242801890846583, + "grad_norm": 1.265625, + "learning_rate": 0.0003045, + "loss": 7.0062, + "mean_token_accuracy": 0.11681902781128883, + "num_tokens": 1108869.0, + "step": 610 + }, + { + "entropy": 7.513333511352539, + "epoch": 0.5285775676837129, + "grad_norm": 1.2109375, + "learning_rate": 0.000307, + "loss": 7.0303, + "mean_token_accuracy": 0.11391275599598885, + "num_tokens": 1117314.0, + "step": 615 + }, + { + "entropy": 7.237616014480591, + "epoch": 0.5328749462827675, + "grad_norm": 1.1875, + "learning_rate": 0.0003095, + "loss": 6.969, + "mean_token_accuracy": 0.11866867989301681, + "num_tokens": 1126786.0, + "step": 620 + }, + { + "entropy": 7.403380393981934, + "epoch": 0.5371723248818221, + "grad_norm": 1.3515625, + "learning_rate": 0.000312, + "loss": 6.983, + "mean_token_accuracy": 0.11322688534855843, + "num_tokens": 1136013.0, + "step": 625 + }, + { + "entropy": 7.355997228622437, + "epoch": 0.5414697034808766, + "grad_norm": 1.15625, + "learning_rate": 0.0003145, + "loss": 7.0163, + "mean_token_accuracy": 0.1159099243581295, + "num_tokens": 1144970.0, + "step": 630 + }, + { + "entropy": 7.416441440582275, + "epoch": 0.5457670820799312, + "grad_norm": 1.3046875, + "learning_rate": 0.000317, + "loss": 6.9784, + "mean_token_accuracy": 0.12343248203396798, + "num_tokens": 1153810.0, + "step": 635 + }, + { + "entropy": 7.320913982391358, + "epoch": 0.5500644606789858, + "grad_norm": 1.234375, + "learning_rate": 0.0003195, + "loss": 6.96, + "mean_token_accuracy": 0.11895549520850182, + "num_tokens": 1162498.0, + "step": 640 + }, + { + "entropy": 7.383200359344483, + "epoch": 0.5543618392780404, + "grad_norm": 1.15625, + "learning_rate": 0.000322, + "loss": 7.0441, + "mean_token_accuracy": 0.11171148270368576, + "num_tokens": 1172091.0, + "step": 645 + }, + { + "entropy": 7.465569925308228, + "epoch": 0.5586592178770949, + "grad_norm": 1.1875, + "learning_rate": 0.00032450000000000003, + "loss": 7.0379, + "mean_token_accuracy": 0.1126454509794712, + "num_tokens": 1181400.0, + "step": 650 + }, + { + "entropy": 7.29718279838562, + "epoch": 0.5629565964761496, + "grad_norm": 1.3671875, + "learning_rate": 0.00032700000000000003, + "loss": 7.0066, + "mean_token_accuracy": 0.11692977026104927, + "num_tokens": 1189780.0, + "step": 655 + }, + { + "entropy": 7.376112461090088, + "epoch": 0.5672539750752041, + "grad_norm": 1.234375, + "learning_rate": 0.00032950000000000004, + "loss": 6.9708, + "mean_token_accuracy": 0.11179102137684822, + "num_tokens": 1198671.0, + "step": 660 + }, + { + "entropy": 7.406812715530395, + "epoch": 0.5715513536742587, + "grad_norm": 1.140625, + "learning_rate": 0.00033200000000000005, + "loss": 6.9887, + "mean_token_accuracy": 0.11439693570137024, + "num_tokens": 1207173.0, + "step": 665 + }, + { + "entropy": 7.267558336257935, + "epoch": 0.5758487322733132, + "grad_norm": 1.328125, + "learning_rate": 0.00033450000000000005, + "loss": 6.9252, + "mean_token_accuracy": 0.11824023947119713, + "num_tokens": 1216387.0, + "step": 670 + }, + { + "entropy": 7.466721105575561, + "epoch": 0.5801461108723679, + "grad_norm": 1.1640625, + "learning_rate": 0.000337, + "loss": 6.9093, + "mean_token_accuracy": 0.11586858034133911, + "num_tokens": 1224461.0, + "step": 675 + }, + { + "entropy": 7.260802936553955, + "epoch": 0.5844434894714224, + "grad_norm": 1.2265625, + "learning_rate": 0.0003395, + "loss": 6.9855, + "mean_token_accuracy": 0.1176436722278595, + "num_tokens": 1233774.0, + "step": 680 + }, + { + "entropy": 7.267514610290528, + "epoch": 0.588740868070477, + "grad_norm": 1.2109375, + "learning_rate": 0.000342, + "loss": 6.9319, + "mean_token_accuracy": 0.12313097864389419, + "num_tokens": 1242812.0, + "step": 685 + }, + { + "entropy": 7.451924133300781, + "epoch": 0.5930382466695315, + "grad_norm": 1.1640625, + "learning_rate": 0.00034449999999999997, + "loss": 7.0445, + "mean_token_accuracy": 0.1125735655426979, + "num_tokens": 1252872.0, + "step": 690 + }, + { + "entropy": 7.1216278076171875, + "epoch": 0.5973356252685862, + "grad_norm": 1.21875, + "learning_rate": 0.000347, + "loss": 6.8314, + "mean_token_accuracy": 0.1210754469037056, + "num_tokens": 1260852.0, + "step": 695 + }, + { + "entropy": 7.292500305175781, + "epoch": 0.6016330038676407, + "grad_norm": 1.21875, + "learning_rate": 0.0003495, + "loss": 6.9419, + "mean_token_accuracy": 0.1167706459760666, + "num_tokens": 1268925.0, + "step": 700 + }, + { + "entropy": 7.384844732284546, + "epoch": 0.6059303824666953, + "grad_norm": 1.1484375, + "learning_rate": 0.000352, + "loss": 6.9849, + "mean_token_accuracy": 0.11300796419382095, + "num_tokens": 1278994.0, + "step": 705 + }, + { + "entropy": 7.286926889419556, + "epoch": 0.6102277610657499, + "grad_norm": 1.1875, + "learning_rate": 0.0003545, + "loss": 6.9847, + "mean_token_accuracy": 0.11259545534849166, + "num_tokens": 1287698.0, + "step": 710 + }, + { + "entropy": 7.337662601470948, + "epoch": 0.6145251396648045, + "grad_norm": 1.125, + "learning_rate": 0.000357, + "loss": 6.9117, + "mean_token_accuracy": 0.12028303518891334, + "num_tokens": 1297475.0, + "step": 715 + }, + { + "entropy": 7.265739297866821, + "epoch": 0.618822518263859, + "grad_norm": 1.234375, + "learning_rate": 0.0003595, + "loss": 6.9558, + "mean_token_accuracy": 0.11790136769413948, + "num_tokens": 1306836.0, + "step": 720 + }, + { + "entropy": 7.3774675846099855, + "epoch": 0.6231198968629136, + "grad_norm": 1.140625, + "learning_rate": 0.000362, + "loss": 6.9932, + "mean_token_accuracy": 0.11299360319972038, + "num_tokens": 1315872.0, + "step": 725 + }, + { + "entropy": 7.3129335880279545, + "epoch": 0.6274172754619682, + "grad_norm": 1.28125, + "learning_rate": 0.0003645, + "loss": 6.9353, + "mean_token_accuracy": 0.12453719973564148, + "num_tokens": 1324624.0, + "step": 730 + }, + { + "entropy": 7.300215101242065, + "epoch": 0.6317146540610228, + "grad_norm": 1.34375, + "learning_rate": 0.000367, + "loss": 6.9246, + "mean_token_accuracy": 0.12120431885123253, + "num_tokens": 1333058.0, + "step": 735 + }, + { + "entropy": 7.065497016906738, + "epoch": 0.6360120326600773, + "grad_norm": 1.0703125, + "learning_rate": 0.0003695, + "loss": 6.8904, + "mean_token_accuracy": 0.11625659838318825, + "num_tokens": 1342376.0, + "step": 740 + }, + { + "entropy": 7.412401533126831, + "epoch": 0.6403094112591319, + "grad_norm": 1.2578125, + "learning_rate": 0.000372, + "loss": 6.9293, + "mean_token_accuracy": 0.11268759667873382, + "num_tokens": 1351386.0, + "step": 745 + }, + { + "entropy": 7.194233036041259, + "epoch": 0.6446067898581865, + "grad_norm": 1.3359375, + "learning_rate": 0.0003745, + "loss": 6.8338, + "mean_token_accuracy": 0.12849506586790085, + "num_tokens": 1358958.0, + "step": 750 + }, + { + "entropy": 7.3347986221313475, + "epoch": 0.6489041684572411, + "grad_norm": 1.2109375, + "learning_rate": 0.000377, + "loss": 6.988, + "mean_token_accuracy": 0.11507417485117913, + "num_tokens": 1368599.0, + "step": 755 + }, + { + "entropy": 7.380126667022705, + "epoch": 0.6532015470562956, + "grad_norm": 1.984375, + "learning_rate": 0.0003795, + "loss": 7.0127, + "mean_token_accuracy": 0.111283528059721, + "num_tokens": 1378529.0, + "step": 760 + }, + { + "entropy": 7.157611989974976, + "epoch": 0.6574989256553503, + "grad_norm": 1.3984375, + "learning_rate": 0.000382, + "loss": 6.8052, + "mean_token_accuracy": 0.1265752285718918, + "num_tokens": 1386993.0, + "step": 765 + }, + { + "entropy": 7.21686282157898, + "epoch": 0.6617963042544048, + "grad_norm": 1.4296875, + "learning_rate": 0.0003845, + "loss": 6.8936, + "mean_token_accuracy": 0.12180712148547172, + "num_tokens": 1395790.0, + "step": 770 + }, + { + "entropy": 7.166302919387817, + "epoch": 0.6660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.00038700000000000003, + "loss": 6.9063, + "mean_token_accuracy": 0.11845313757658005, + "num_tokens": 1405587.0, + "step": 775 + }, + { + "entropy": 7.20961365699768, + "epoch": 0.6703910614525139, + "grad_norm": 1.1875, + "learning_rate": 0.00038950000000000003, + "loss": 6.8702, + "mean_token_accuracy": 0.12274195328354835, + "num_tokens": 1414478.0, + "step": 780 + }, + { + "entropy": 7.319825458526611, + "epoch": 0.6746884400515686, + "grad_norm": 1.4296875, + "learning_rate": 0.00039200000000000004, + "loss": 6.9317, + "mean_token_accuracy": 0.12083822339773179, + "num_tokens": 1423791.0, + "step": 785 + }, + { + "entropy": 7.313541460037231, + "epoch": 0.6789858186506231, + "grad_norm": 1.328125, + "learning_rate": 0.00039450000000000005, + "loss": 6.975, + "mean_token_accuracy": 0.11185284182429314, + "num_tokens": 1432955.0, + "step": 790 + }, + { + "entropy": 7.242367315292358, + "epoch": 0.6832831972496777, + "grad_norm": 1.03125, + "learning_rate": 0.00039700000000000005, + "loss": 6.9394, + "mean_token_accuracy": 0.11529579535126686, + "num_tokens": 1441907.0, + "step": 795 + }, + { + "entropy": 7.173644304275513, + "epoch": 0.6875805758487322, + "grad_norm": 1.2734375, + "learning_rate": 0.0003995, + "loss": 6.8059, + "mean_token_accuracy": 0.12198502644896507, + "num_tokens": 1451062.0, + "step": 800 + }, + { + "entropy": 7.2840491771698, + "epoch": 0.6918779544477869, + "grad_norm": 1.109375, + "learning_rate": 0.000402, + "loss": 6.8894, + "mean_token_accuracy": 0.11644295528531075, + "num_tokens": 1460132.0, + "step": 805 + }, + { + "entropy": 7.085446500778199, + "epoch": 0.6961753330468414, + "grad_norm": 1.078125, + "learning_rate": 0.0004045, + "loss": 6.7896, + "mean_token_accuracy": 0.12437586709856988, + "num_tokens": 1469582.0, + "step": 810 + }, + { + "entropy": 7.180881690979004, + "epoch": 0.700472711645896, + "grad_norm": 1.4453125, + "learning_rate": 0.00040699999999999997, + "loss": 6.8844, + "mean_token_accuracy": 0.11694586053490638, + "num_tokens": 1479053.0, + "step": 815 + }, + { + "entropy": 7.176044559478759, + "epoch": 0.7047700902449506, + "grad_norm": 1.21875, + "learning_rate": 0.0004095, + "loss": 6.8874, + "mean_token_accuracy": 0.11812442615628242, + "num_tokens": 1488189.0, + "step": 820 + }, + { + "entropy": 7.071721315383911, + "epoch": 0.7090674688440052, + "grad_norm": 1.2578125, + "learning_rate": 0.000412, + "loss": 6.7495, + "mean_token_accuracy": 0.12273769155144691, + "num_tokens": 1497324.0, + "step": 825 + }, + { + "entropy": 7.243275499343872, + "epoch": 0.7133648474430597, + "grad_norm": 1.0546875, + "learning_rate": 0.0004145, + "loss": 6.8631, + "mean_token_accuracy": 0.12297548577189446, + "num_tokens": 1506543.0, + "step": 830 + }, + { + "entropy": 7.1102629661560055, + "epoch": 0.7176622260421143, + "grad_norm": 1.171875, + "learning_rate": 0.000417, + "loss": 6.8571, + "mean_token_accuracy": 0.1257997862994671, + "num_tokens": 1516737.0, + "step": 835 + }, + { + "entropy": 7.015081739425659, + "epoch": 0.7219596046411689, + "grad_norm": 1.1015625, + "learning_rate": 0.0004195, + "loss": 6.7311, + "mean_token_accuracy": 0.12102818563580513, + "num_tokens": 1525561.0, + "step": 840 + }, + { + "entropy": 7.17170901298523, + "epoch": 0.7262569832402235, + "grad_norm": 1.203125, + "learning_rate": 0.000422, + "loss": 6.757, + "mean_token_accuracy": 0.12571127861738204, + "num_tokens": 1533323.0, + "step": 845 + }, + { + "entropy": 7.173940944671631, + "epoch": 0.730554361839278, + "grad_norm": 1.2109375, + "learning_rate": 0.0004245, + "loss": 6.821, + "mean_token_accuracy": 0.12750849053263663, + "num_tokens": 1542632.0, + "step": 850 + }, + { + "entropy": 7.148316097259522, + "epoch": 0.7348517404383326, + "grad_norm": 1.296875, + "learning_rate": 0.000427, + "loss": 6.7649, + "mean_token_accuracy": 0.12507490813732147, + "num_tokens": 1551236.0, + "step": 855 + }, + { + "entropy": 6.981910467147827, + "epoch": 0.7391491190373872, + "grad_norm": 1.21875, + "learning_rate": 0.0004295, + "loss": 6.7641, + "mean_token_accuracy": 0.12514904662966728, + "num_tokens": 1559674.0, + "step": 860 + }, + { + "entropy": 7.186282157897949, + "epoch": 0.7434464976364418, + "grad_norm": 1.1484375, + "learning_rate": 0.000432, + "loss": 6.8498, + "mean_token_accuracy": 0.1250532478094101, + "num_tokens": 1569481.0, + "step": 865 + }, + { + "entropy": 7.118600702285766, + "epoch": 0.7477438762354963, + "grad_norm": 1.1796875, + "learning_rate": 0.0004345, + "loss": 6.8888, + "mean_token_accuracy": 0.1209896370768547, + "num_tokens": 1578488.0, + "step": 870 + }, + { + "entropy": 7.105226039886475, + "epoch": 0.752041254834551, + "grad_norm": 1.078125, + "learning_rate": 0.000437, + "loss": 6.7736, + "mean_token_accuracy": 0.12527675032615662, + "num_tokens": 1586675.0, + "step": 875 + }, + { + "entropy": 7.185068035125733, + "epoch": 0.7563386334336055, + "grad_norm": 1.1015625, + "learning_rate": 0.0004395, + "loss": 6.8782, + "mean_token_accuracy": 0.1180253192782402, + "num_tokens": 1595411.0, + "step": 880 + }, + { + "entropy": 7.179415893554688, + "epoch": 0.7606360120326601, + "grad_norm": 1.2734375, + "learning_rate": 0.000442, + "loss": 6.8619, + "mean_token_accuracy": 0.12292847484350204, + "num_tokens": 1604046.0, + "step": 885 + }, + { + "entropy": 7.130577564239502, + "epoch": 0.7649333906317146, + "grad_norm": 1.15625, + "learning_rate": 0.0004445, + "loss": 6.8566, + "mean_token_accuracy": 0.11715829819440841, + "num_tokens": 1613759.0, + "step": 890 + }, + { + "entropy": 7.111226511001587, + "epoch": 0.7692307692307693, + "grad_norm": 1.09375, + "learning_rate": 0.000447, + "loss": 6.8191, + "mean_token_accuracy": 0.1252148814499378, + "num_tokens": 1623323.0, + "step": 895 + }, + { + "entropy": 7.097943353652954, + "epoch": 0.7735281478298238, + "grad_norm": 1.21875, + "learning_rate": 0.00044950000000000003, + "loss": 6.7922, + "mean_token_accuracy": 0.11943844705820084, + "num_tokens": 1631727.0, + "step": 900 + }, + { + "entropy": 7.073408317565918, + "epoch": 0.7778255264288784, + "grad_norm": 1.21875, + "learning_rate": 0.00045200000000000004, + "loss": 6.7454, + "mean_token_accuracy": 0.12582483813166617, + "num_tokens": 1639544.0, + "step": 905 + }, + { + "entropy": 7.1905022144317625, + "epoch": 0.7821229050279329, + "grad_norm": 1.2421875, + "learning_rate": 0.00045450000000000004, + "loss": 6.8716, + "mean_token_accuracy": 0.11673429310321808, + "num_tokens": 1648931.0, + "step": 910 + }, + { + "entropy": 7.032827425003052, + "epoch": 0.7864202836269876, + "grad_norm": 1.140625, + "learning_rate": 0.00045700000000000005, + "loss": 6.7325, + "mean_token_accuracy": 0.12737771049141883, + "num_tokens": 1657688.0, + "step": 915 + }, + { + "entropy": 7.160619735717773, + "epoch": 0.7907176622260421, + "grad_norm": 1.0859375, + "learning_rate": 0.00045950000000000006, + "loss": 6.8191, + "mean_token_accuracy": 0.11969996094703675, + "num_tokens": 1666879.0, + "step": 920 + }, + { + "entropy": 7.016655492782593, + "epoch": 0.7950150408250967, + "grad_norm": 1.125, + "learning_rate": 0.000462, + "loss": 6.7912, + "mean_token_accuracy": 0.12404834032058716, + "num_tokens": 1676773.0, + "step": 925 + }, + { + "entropy": 7.205742454528808, + "epoch": 0.7993124194241513, + "grad_norm": 1.140625, + "learning_rate": 0.0004645, + "loss": 6.8942, + "mean_token_accuracy": 0.11682869419455529, + "num_tokens": 1686144.0, + "step": 930 + }, + { + "entropy": 7.093483018875122, + "epoch": 0.8036097980232059, + "grad_norm": 1.09375, + "learning_rate": 0.000467, + "loss": 6.8555, + "mean_token_accuracy": 0.11735839322209358, + "num_tokens": 1695476.0, + "step": 935 + }, + { + "entropy": 7.090408611297607, + "epoch": 0.8079071766222604, + "grad_norm": 1.1171875, + "learning_rate": 0.0004695, + "loss": 6.7525, + "mean_token_accuracy": 0.12118161767721176, + "num_tokens": 1704907.0, + "step": 940 + }, + { + "entropy": 7.016019344329834, + "epoch": 0.812204555221315, + "grad_norm": 1.0078125, + "learning_rate": 0.000472, + "loss": 6.7924, + "mean_token_accuracy": 0.12617168575525284, + "num_tokens": 1714564.0, + "step": 945 + }, + { + "entropy": 7.132166576385498, + "epoch": 0.8165019338203696, + "grad_norm": 1.1328125, + "learning_rate": 0.0004745, + "loss": 6.8135, + "mean_token_accuracy": 0.12022659555077553, + "num_tokens": 1725285.0, + "step": 950 + }, + { + "entropy": 7.00044469833374, + "epoch": 0.8207993124194242, + "grad_norm": 1.1015625, + "learning_rate": 0.000477, + "loss": 6.8177, + "mean_token_accuracy": 0.12241263464093208, + "num_tokens": 1734331.0, + "step": 955 + }, + { + "entropy": 7.126689529418945, + "epoch": 0.8250966910184787, + "grad_norm": 1.28125, + "learning_rate": 0.0004795, + "loss": 6.749, + "mean_token_accuracy": 0.11530287116765976, + "num_tokens": 1742340.0, + "step": 960 + }, + { + "entropy": 7.05500750541687, + "epoch": 0.8293940696175333, + "grad_norm": 1.15625, + "learning_rate": 0.000482, + "loss": 6.7383, + "mean_token_accuracy": 0.12545244619250298, + "num_tokens": 1751725.0, + "step": 965 + }, + { + "entropy": 6.894489717483521, + "epoch": 0.8336914482165879, + "grad_norm": 1.1796875, + "learning_rate": 0.0004845, + "loss": 6.6736, + "mean_token_accuracy": 0.12856126353144645, + "num_tokens": 1760294.0, + "step": 970 + }, + { + "entropy": 7.036704349517822, + "epoch": 0.8379888268156425, + "grad_norm": 1.0859375, + "learning_rate": 0.000487, + "loss": 6.7265, + "mean_token_accuracy": 0.1231304183602333, + "num_tokens": 1768912.0, + "step": 975 + }, + { + "entropy": 7.092654848098755, + "epoch": 0.842286205414697, + "grad_norm": 1.140625, + "learning_rate": 0.0004895, + "loss": 6.9187, + "mean_token_accuracy": 0.12804483920335769, + "num_tokens": 1778633.0, + "step": 980 + }, + { + "entropy": 7.090839195251465, + "epoch": 0.8465835840137517, + "grad_norm": 1.140625, + "learning_rate": 0.000492, + "loss": 6.7883, + "mean_token_accuracy": 0.12408955544233322, + "num_tokens": 1787275.0, + "step": 985 + }, + { + "entropy": 7.0695414543151855, + "epoch": 0.8508809626128062, + "grad_norm": 1.2734375, + "learning_rate": 0.0004945, + "loss": 6.7844, + "mean_token_accuracy": 0.12348324134945869, + "num_tokens": 1795994.0, + "step": 990 + }, + { + "entropy": 6.964667177200317, + "epoch": 0.8551783412118608, + "grad_norm": 0.94921875, + "learning_rate": 0.000497, + "loss": 6.7175, + "mean_token_accuracy": 0.12602235972881318, + "num_tokens": 1806379.0, + "step": 995 + }, + { + "entropy": 7.061655473709107, + "epoch": 0.8594757198109153, + "grad_norm": 1.09375, + "learning_rate": 0.0004995, + "loss": 6.7479, + "mean_token_accuracy": 0.13024335727095604, + "num_tokens": 1816135.0, + "step": 1000 + }, + { + "epoch": 0.8594757198109153, + "eval_entropy": 6.75515693050247, + "eval_loss": 6.752710819244385, + "eval_mean_token_accuracy": 0.12811107195175445, + "eval_num_tokens": 1816135.0, + "eval_runtime": 2.0604, + "eval_samples_per_second": 1722.442, + "eval_steps_per_second": 215.487, + "step": 1000 + }, + { + "entropy": 6.9897054672241214, + "epoch": 0.86377309840997, + "grad_norm": 1.2890625, + "learning_rate": 0.0004999998427807679, + "loss": 6.7314, + "mean_token_accuracy": 0.12282020673155784, + "num_tokens": 1824777.0, + "step": 1005 + }, + { + "entropy": 6.925821113586426, + "epoch": 0.8680704770090245, + "grad_norm": 1.4296875, + "learning_rate": 0.0004999992040780138, + "loss": 6.8085, + "mean_token_accuracy": 0.1247783549129963, + "num_tokens": 1833807.0, + "step": 1010 + }, + { + "entropy": 7.123036670684814, + "epoch": 0.8723678556080791, + "grad_norm": 1.078125, + "learning_rate": 0.0004999980740669294, + "loss": 6.754, + "mean_token_accuracy": 0.12499897480010987, + "num_tokens": 1843375.0, + "step": 1015 + }, + { + "entropy": 7.027141857147217, + "epoch": 0.8766652342071336, + "grad_norm": 1.1796875, + "learning_rate": 0.0004999964527499823, + "loss": 6.8155, + "mean_token_accuracy": 0.12067028507590294, + "num_tokens": 1853036.0, + "step": 1020 + }, + { + "entropy": 7.018357038497925, + "epoch": 0.8809626128061883, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999943401307127, + "loss": 6.7605, + "mean_token_accuracy": 0.12497071847319603, + "num_tokens": 1862041.0, + "step": 1025 + }, + { + "entropy": 6.984006929397583, + "epoch": 0.8852599914052428, + "grad_norm": 1.2421875, + "learning_rate": 0.0004999917362137337, + "loss": 6.6885, + "mean_token_accuracy": 0.12735832259058952, + "num_tokens": 1870707.0, + "step": 1030 + }, + { + "entropy": 6.964999151229859, + "epoch": 0.8895573700042974, + "grad_norm": 1.140625, + "learning_rate": 0.0004999886410047312, + "loss": 6.6849, + "mean_token_accuracy": 0.12543184384703637, + "num_tokens": 1879787.0, + "step": 1035 + }, + { + "entropy": 7.046022748947143, + "epoch": 0.8938547486033519, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999850545104638, + "loss": 6.7336, + "mean_token_accuracy": 0.12585699930787086, + "num_tokens": 1889413.0, + "step": 1040 + }, + { + "entropy": 6.9450146675109865, + "epoch": 0.8981521272024066, + "grad_norm": 1.265625, + "learning_rate": 0.0004999809767387633, + "loss": 6.7291, + "mean_token_accuracy": 0.12462790235877037, + "num_tokens": 1898283.0, + "step": 1045 + }, + { + "entropy": 6.982704973220825, + "epoch": 0.9024495058014611, + "grad_norm": 1.109375, + "learning_rate": 0.0004999764076985337, + "loss": 6.7474, + "mean_token_accuracy": 0.12953734770417213, + "num_tokens": 1907175.0, + "step": 1050 + }, + { + "entropy": 6.947793340682983, + "epoch": 0.9067468844005157, + "grad_norm": 1.109375, + "learning_rate": 0.0004999713473997519, + "loss": 6.7933, + "mean_token_accuracy": 0.12337937280535698, + "num_tokens": 1918223.0, + "step": 1055 + }, + { + "entropy": 7.053569555282593, + "epoch": 0.9110442629995703, + "grad_norm": 1.109375, + "learning_rate": 0.0004999657958534677, + "loss": 6.7435, + "mean_token_accuracy": 0.11936211958527565, + "num_tokens": 1928801.0, + "step": 1060 + }, + { + "entropy": 6.874362564086914, + "epoch": 0.9153416415986249, + "grad_norm": 1.1171875, + "learning_rate": 0.0004999597530718034, + "loss": 6.7076, + "mean_token_accuracy": 0.12535862401127815, + "num_tokens": 1937406.0, + "step": 1065 + }, + { + "entropy": 6.924251508712769, + "epoch": 0.9196390201976794, + "grad_norm": 1.1171875, + "learning_rate": 0.000499953219067954, + "loss": 6.7025, + "mean_token_accuracy": 0.12463184967637062, + "num_tokens": 1947184.0, + "step": 1070 + }, + { + "entropy": 7.056308698654175, + "epoch": 0.923936398796734, + "grad_norm": 1.15625, + "learning_rate": 0.0004999461938561873, + "loss": 6.7241, + "mean_token_accuracy": 0.12476856112480164, + "num_tokens": 1956293.0, + "step": 1075 + }, + { + "entropy": 6.90220274925232, + "epoch": 0.9282337773957886, + "grad_norm": 1.1328125, + "learning_rate": 0.0004999386774518432, + "loss": 6.6968, + "mean_token_accuracy": 0.12625648751854895, + "num_tokens": 1964791.0, + "step": 1080 + }, + { + "entropy": 6.965981435775757, + "epoch": 0.9325311559948432, + "grad_norm": 1.0546875, + "learning_rate": 0.0004999306698713349, + "loss": 6.616, + "mean_token_accuracy": 0.12837354317307473, + "num_tokens": 1973754.0, + "step": 1085 + }, + { + "entropy": 6.929974555969238, + "epoch": 0.9368285345938977, + "grad_norm": 1.1015625, + "learning_rate": 0.0004999221711321477, + "loss": 6.6857, + "mean_token_accuracy": 0.12695353776216506, + "num_tokens": 1983035.0, + "step": 1090 + }, + { + "entropy": 6.804391956329345, + "epoch": 0.9411259131929522, + "grad_norm": 1.0859375, + "learning_rate": 0.0004999131812528393, + "loss": 6.7126, + "mean_token_accuracy": 0.12742481231689454, + "num_tokens": 1992584.0, + "step": 1095 + }, + { + "entropy": 7.0129533290863035, + "epoch": 0.9454232917920069, + "grad_norm": 0.94140625, + "learning_rate": 0.00049990370025304, + "loss": 6.745, + "mean_token_accuracy": 0.1250165306031704, + "num_tokens": 2001876.0, + "step": 1100 + }, + { + "entropy": 6.9361108303070065, + "epoch": 0.9497206703910615, + "grad_norm": 1.015625, + "learning_rate": 0.0004998937281534526, + "loss": 6.6354, + "mean_token_accuracy": 0.1352070689201355, + "num_tokens": 2011067.0, + "step": 1105 + }, + { + "entropy": 7.00281867980957, + "epoch": 0.954018048990116, + "grad_norm": 1.140625, + "learning_rate": 0.0004998832649758521, + "loss": 6.7191, + "mean_token_accuracy": 0.12910578772425652, + "num_tokens": 2020763.0, + "step": 1110 + }, + { + "entropy": 6.846075534820557, + "epoch": 0.9583154275891707, + "grad_norm": 1.2421875, + "learning_rate": 0.0004998723107430862, + "loss": 6.702, + "mean_token_accuracy": 0.12597106099128724, + "num_tokens": 2029534.0, + "step": 1115 + }, + { + "entropy": 6.979312801361084, + "epoch": 0.9626128061882252, + "grad_norm": 1.109375, + "learning_rate": 0.0004998608654790741, + "loss": 6.6576, + "mean_token_accuracy": 0.12685178518295287, + "num_tokens": 2039143.0, + "step": 1120 + }, + { + "entropy": 6.840395832061768, + "epoch": 0.9669101847872797, + "grad_norm": 1.1953125, + "learning_rate": 0.000499848929208808, + "loss": 6.619, + "mean_token_accuracy": 0.13090287074446677, + "num_tokens": 2048253.0, + "step": 1125 + }, + { + "entropy": 6.833210182189942, + "epoch": 0.9712075633863343, + "grad_norm": 1.234375, + "learning_rate": 0.0004998365019583519, + "loss": 6.6747, + "mean_token_accuracy": 0.13630941957235337, + "num_tokens": 2057234.0, + "step": 1130 + }, + { + "entropy": 7.008919525146484, + "epoch": 0.975504941985389, + "grad_norm": 1.203125, + "learning_rate": 0.0004998235837548417, + "loss": 6.7058, + "mean_token_accuracy": 0.12927891165018082, + "num_tokens": 2065431.0, + "step": 1135 + }, + { + "entropy": 6.887974071502685, + "epoch": 0.9798023205844435, + "grad_norm": 1.1015625, + "learning_rate": 0.000499810174626486, + "loss": 6.7146, + "mean_token_accuracy": 0.1267981804907322, + "num_tokens": 2074723.0, + "step": 1140 + }, + { + "entropy": 6.909135150909424, + "epoch": 0.984099699183498, + "grad_norm": 1.2265625, + "learning_rate": 0.0004997962746025646, + "loss": 6.5835, + "mean_token_accuracy": 0.13582983165979384, + "num_tokens": 2084509.0, + "step": 1145 + }, + { + "entropy": 6.8790112972259525, + "epoch": 0.9883970777825526, + "grad_norm": 1.1875, + "learning_rate": 0.0004997818837134298, + "loss": 6.7192, + "mean_token_accuracy": 0.13046733066439628, + "num_tokens": 2093110.0, + "step": 1150 + }, + { + "entropy": 6.820547676086425, + "epoch": 0.9926944563816072, + "grad_norm": 1.1484375, + "learning_rate": 0.0004997670019905057, + "loss": 6.5939, + "mean_token_accuracy": 0.12773325443267822, + "num_tokens": 2102355.0, + "step": 1155 + }, + { + "entropy": 6.849571800231933, + "epoch": 0.9969918349806618, + "grad_norm": 1.2109375, + "learning_rate": 0.0004997516294662876, + "loss": 6.6207, + "mean_token_accuracy": 0.1278907351195812, + "num_tokens": 2110418.0, + "step": 1160 + }, + { + "entropy": 6.932281441158718, + "epoch": 1.0008594757198108, + "grad_norm": 1.1796875, + "learning_rate": 0.0004997357661743433, + "loss": 6.6076, + "mean_token_accuracy": 0.13429299659199184, + "num_tokens": 2117866.0, + "step": 1165 + }, + { + "entropy": 6.776707983016967, + "epoch": 1.0051568543188656, + "grad_norm": 1.1171875, + "learning_rate": 0.0004997194121493118, + "loss": 6.4353, + "mean_token_accuracy": 0.14019777849316598, + "num_tokens": 2126082.0, + "step": 1170 + }, + { + "entropy": 6.887734413146973, + "epoch": 1.0094542329179201, + "grad_norm": 1.0859375, + "learning_rate": 0.0004997025674269037, + "loss": 6.4211, + "mean_token_accuracy": 0.13955733701586723, + "num_tokens": 2134042.0, + "step": 1175 + }, + { + "entropy": 6.774314117431641, + "epoch": 1.0137516115169747, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996852320439013, + "loss": 6.4895, + "mean_token_accuracy": 0.13937605321407318, + "num_tokens": 2142570.0, + "step": 1180 + }, + { + "entropy": 6.8031017780303955, + "epoch": 1.0180489901160292, + "grad_norm": 1.015625, + "learning_rate": 0.0004996674060381578, + "loss": 6.4187, + "mean_token_accuracy": 0.13786159604787826, + "num_tokens": 2151310.0, + "step": 1185 + }, + { + "entropy": 6.884524583816528, + "epoch": 1.0223463687150838, + "grad_norm": 1.2109375, + "learning_rate": 0.0004996490894485985, + "loss": 6.4993, + "mean_token_accuracy": 0.1331610009074211, + "num_tokens": 2160662.0, + "step": 1190 + }, + { + "entropy": 6.801689147949219, + "epoch": 1.0266437473141383, + "grad_norm": 1.1484375, + "learning_rate": 0.0004996302823152193, + "loss": 6.445, + "mean_token_accuracy": 0.13591438457369803, + "num_tokens": 2170067.0, + "step": 1195 + }, + { + "entropy": 6.76284008026123, + "epoch": 1.0309411259131929, + "grad_norm": 1.15625, + "learning_rate": 0.0004996109846790873, + "loss": 6.4084, + "mean_token_accuracy": 0.14033972024917601, + "num_tokens": 2178850.0, + "step": 1200 + }, + { + "entropy": 6.71863865852356, + "epoch": 1.0352385045122476, + "grad_norm": 1.0, + "learning_rate": 0.0004995911965823412, + "loss": 6.4263, + "mean_token_accuracy": 0.1453915849328041, + "num_tokens": 2188307.0, + "step": 1205 + }, + { + "entropy": 6.847736549377442, + "epoch": 1.0395358831113022, + "grad_norm": 1.21875, + "learning_rate": 0.0004995709180681899, + "loss": 6.4144, + "mean_token_accuracy": 0.1416982263326645, + "num_tokens": 2197026.0, + "step": 1210 + }, + { + "entropy": 6.729686546325683, + "epoch": 1.0438332617103567, + "grad_norm": 1.125, + "learning_rate": 0.000499550149180914, + "loss": 6.4003, + "mean_token_accuracy": 0.13990466818213462, + "num_tokens": 2205537.0, + "step": 1215 + }, + { + "entropy": 6.780020618438721, + "epoch": 1.0481306403094113, + "grad_norm": 1.15625, + "learning_rate": 0.0004995288899658641, + "loss": 6.4298, + "mean_token_accuracy": 0.1448238343000412, + "num_tokens": 2214508.0, + "step": 1220 + }, + { + "entropy": 6.842759847640991, + "epoch": 1.0524280189084658, + "grad_norm": 1.171875, + "learning_rate": 0.0004995071404694619, + "loss": 6.5391, + "mean_token_accuracy": 0.1354886084794998, + "num_tokens": 2223084.0, + "step": 1225 + }, + { + "entropy": 6.7924669742584225, + "epoch": 1.0567253975075204, + "grad_norm": 1.078125, + "learning_rate": 0.0004994849007391996, + "loss": 6.4679, + "mean_token_accuracy": 0.13138427063822747, + "num_tokens": 2231406.0, + "step": 1230 + }, + { + "entropy": 6.731750345230102, + "epoch": 1.061022776106575, + "grad_norm": 1.1328125, + "learning_rate": 0.0004994621708236401, + "loss": 6.3805, + "mean_token_accuracy": 0.14119497835636138, + "num_tokens": 2239867.0, + "step": 1235 + }, + { + "entropy": 6.745153379440308, + "epoch": 1.0653201547056295, + "grad_norm": 1.2265625, + "learning_rate": 0.000499438950772416, + "loss": 6.4467, + "mean_token_accuracy": 0.1372622825205326, + "num_tokens": 2248844.0, + "step": 1240 + }, + { + "entropy": 6.710582876205445, + "epoch": 1.0696175333046842, + "grad_norm": 1.078125, + "learning_rate": 0.0004994152406362311, + "loss": 6.3633, + "mean_token_accuracy": 0.14102791994810104, + "num_tokens": 2257599.0, + "step": 1245 + }, + { + "entropy": 6.773756074905395, + "epoch": 1.0739149119037388, + "grad_norm": 1.296875, + "learning_rate": 0.0004993910404668586, + "loss": 6.418, + "mean_token_accuracy": 0.13638516888022423, + "num_tokens": 2266510.0, + "step": 1250 + }, + { + "entropy": 6.720381832122802, + "epoch": 1.0782122905027933, + "grad_norm": 1.03125, + "learning_rate": 0.000499366350317142, + "loss": 6.4145, + "mean_token_accuracy": 0.1418795846402645, + "num_tokens": 2275462.0, + "step": 1255 + }, + { + "entropy": 6.712311601638794, + "epoch": 1.0825096691018479, + "grad_norm": 1.15625, + "learning_rate": 0.0004993411702409948, + "loss": 6.3874, + "mean_token_accuracy": 0.1354715533554554, + "num_tokens": 2283826.0, + "step": 1260 + }, + { + "entropy": 6.76007399559021, + "epoch": 1.0868070477009024, + "grad_norm": 1.3203125, + "learning_rate": 0.0004993155002934002, + "loss": 6.3997, + "mean_token_accuracy": 0.13856483697891236, + "num_tokens": 2292967.0, + "step": 1265 + }, + { + "entropy": 6.8389280319213865, + "epoch": 1.091104426299957, + "grad_norm": 1.7109375, + "learning_rate": 0.0004992893405304111, + "loss": 6.5262, + "mean_token_accuracy": 0.13781826868653296, + "num_tokens": 2302336.0, + "step": 1270 + }, + { + "entropy": 6.64991979598999, + "epoch": 1.0954018048990115, + "grad_norm": 1.078125, + "learning_rate": 0.00049926269100915, + "loss": 6.4293, + "mean_token_accuracy": 0.1432204395532608, + "num_tokens": 2311465.0, + "step": 1275 + }, + { + "entropy": 6.792691707611084, + "epoch": 1.0996991834980663, + "grad_norm": 1.140625, + "learning_rate": 0.0004992355517878087, + "loss": 6.542, + "mean_token_accuracy": 0.13071493357419967, + "num_tokens": 2320281.0, + "step": 1280 + }, + { + "entropy": 6.689556837081909, + "epoch": 1.1039965620971208, + "grad_norm": 1.171875, + "learning_rate": 0.0004992079229256484, + "loss": 6.4431, + "mean_token_accuracy": 0.1360026031732559, + "num_tokens": 2329755.0, + "step": 1285 + }, + { + "entropy": 6.6757041931152346, + "epoch": 1.1082939406961754, + "grad_norm": 1.0546875, + "learning_rate": 0.0004991798044829996, + "loss": 6.3861, + "mean_token_accuracy": 0.1369478650391102, + "num_tokens": 2338807.0, + "step": 1290 + }, + { + "entropy": 6.7733612060546875, + "epoch": 1.11259131929523, + "grad_norm": 1.171875, + "learning_rate": 0.0004991511965212618, + "loss": 6.4719, + "mean_token_accuracy": 0.13780709579586983, + "num_tokens": 2348056.0, + "step": 1295 + }, + { + "entropy": 6.688971424102784, + "epoch": 1.1168886978942845, + "grad_norm": 1.1171875, + "learning_rate": 0.0004991220991029032, + "loss": 6.4868, + "mean_token_accuracy": 0.13366840407252312, + "num_tokens": 2357780.0, + "step": 1300 + }, + { + "entropy": 6.773650407791138, + "epoch": 1.121186076493339, + "grad_norm": 1.3046875, + "learning_rate": 0.000499092512291461, + "loss": 6.4446, + "mean_token_accuracy": 0.13651487827301026, + "num_tokens": 2367060.0, + "step": 1305 + }, + { + "entropy": 6.7718230247497555, + "epoch": 1.1254834550923936, + "grad_norm": 1.0703125, + "learning_rate": 0.000499062436151541, + "loss": 6.441, + "mean_token_accuracy": 0.1382215812802315, + "num_tokens": 2375751.0, + "step": 1310 + }, + { + "entropy": 6.800968360900879, + "epoch": 1.129780833691448, + "grad_norm": 1.1640625, + "learning_rate": 0.0004990318707488173, + "loss": 6.5069, + "mean_token_accuracy": 0.13017478883266448, + "num_tokens": 2385013.0, + "step": 1315 + }, + { + "entropy": 6.692961692810059, + "epoch": 1.1340782122905029, + "grad_norm": 1.1953125, + "learning_rate": 0.0004990008161500327, + "loss": 6.3937, + "mean_token_accuracy": 0.14006393477320672, + "num_tokens": 2392935.0, + "step": 1320 + }, + { + "entropy": 6.706206512451172, + "epoch": 1.1383755908895574, + "grad_norm": 1.2578125, + "learning_rate": 0.000498969272422998, + "loss": 6.4188, + "mean_token_accuracy": 0.1468452200293541, + "num_tokens": 2401560.0, + "step": 1325 + }, + { + "entropy": 6.711210012435913, + "epoch": 1.142672969488612, + "grad_norm": 1.1328125, + "learning_rate": 0.0004989372396365921, + "loss": 6.3447, + "mean_token_accuracy": 0.1455326870083809, + "num_tokens": 2410050.0, + "step": 1330 + }, + { + "entropy": 6.756243276596069, + "epoch": 1.1469703480876665, + "grad_norm": 1.1796875, + "learning_rate": 0.0004989047178607618, + "loss": 6.4505, + "mean_token_accuracy": 0.13842038065195084, + "num_tokens": 2418980.0, + "step": 1335 + }, + { + "entropy": 6.671654081344604, + "epoch": 1.151267726686721, + "grad_norm": 1.1328125, + "learning_rate": 0.0004988717071665215, + "loss": 6.4407, + "mean_token_accuracy": 0.13684784546494483, + "num_tokens": 2427992.0, + "step": 1340 + }, + { + "entropy": 6.762688112258911, + "epoch": 1.1555651052857756, + "grad_norm": 1.046875, + "learning_rate": 0.0004988382076259537, + "loss": 6.3572, + "mean_token_accuracy": 0.14135119169950486, + "num_tokens": 2436368.0, + "step": 1345 + }, + { + "entropy": 6.5892657279968265, + "epoch": 1.1598624838848304, + "grad_norm": 1.0546875, + "learning_rate": 0.0004988042193122077, + "loss": 6.3456, + "mean_token_accuracy": 0.14492984861135483, + "num_tokens": 2445499.0, + "step": 1350 + }, + { + "entropy": 6.752876138687133, + "epoch": 1.164159862483885, + "grad_norm": 1.2265625, + "learning_rate": 0.0004987697422995005, + "loss": 6.3818, + "mean_token_accuracy": 0.13490121066570282, + "num_tokens": 2454312.0, + "step": 1355 + }, + { + "entropy": 6.647862577438355, + "epoch": 1.1684572410829395, + "grad_norm": 1.109375, + "learning_rate": 0.0004987347766631161, + "loss": 6.4437, + "mean_token_accuracy": 0.1407245770096779, + "num_tokens": 2462922.0, + "step": 1360 + }, + { + "entropy": 6.755164289474488, + "epoch": 1.172754619681994, + "grad_norm": 1.0703125, + "learning_rate": 0.0004986993224794055, + "loss": 6.4781, + "mean_token_accuracy": 0.13789629712700843, + "num_tokens": 2472195.0, + "step": 1365 + }, + { + "entropy": 6.6456316947937015, + "epoch": 1.1770519982810486, + "grad_norm": 1.1953125, + "learning_rate": 0.0004986633798257865, + "loss": 6.3829, + "mean_token_accuracy": 0.14376115351915358, + "num_tokens": 2481021.0, + "step": 1370 + }, + { + "entropy": 6.657115125656128, + "epoch": 1.181349376880103, + "grad_norm": 1.15625, + "learning_rate": 0.0004986269487807434, + "loss": 6.405, + "mean_token_accuracy": 0.13883866667747496, + "num_tokens": 2490250.0, + "step": 1375 + }, + { + "entropy": 6.763047981262207, + "epoch": 1.1856467554791577, + "grad_norm": 1.0859375, + "learning_rate": 0.000498590029423827, + "loss": 6.4581, + "mean_token_accuracy": 0.14272229447960855, + "num_tokens": 2499122.0, + "step": 1380 + }, + { + "entropy": 6.686977815628052, + "epoch": 1.1899441340782122, + "grad_norm": 1.109375, + "learning_rate": 0.0004985526218356546, + "loss": 6.4227, + "mean_token_accuracy": 0.13726608753204345, + "num_tokens": 2508454.0, + "step": 1385 + }, + { + "entropy": 6.699887418746949, + "epoch": 1.1942415126772667, + "grad_norm": 1.1328125, + "learning_rate": 0.0004985147260979093, + "loss": 6.3632, + "mean_token_accuracy": 0.1465839110314846, + "num_tokens": 2517353.0, + "step": 1390 + }, + { + "entropy": 6.691904354095459, + "epoch": 1.1985388912763215, + "grad_norm": 1.1796875, + "learning_rate": 0.0004984763422933402, + "loss": 6.3821, + "mean_token_accuracy": 0.14337702393531798, + "num_tokens": 2526321.0, + "step": 1395 + }, + { + "entropy": 6.6859358787536625, + "epoch": 1.202836269875376, + "grad_norm": 1.0078125, + "learning_rate": 0.0004984374705057623, + "loss": 6.4144, + "mean_token_accuracy": 0.14242582842707635, + "num_tokens": 2535924.0, + "step": 1400 + }, + { + "entropy": 6.640392780303955, + "epoch": 1.2071336484744306, + "grad_norm": 1.171875, + "learning_rate": 0.0004983981108200561, + "loss": 6.3922, + "mean_token_accuracy": 0.1401688925921917, + "num_tokens": 2545606.0, + "step": 1405 + }, + { + "entropy": 6.649671459197998, + "epoch": 1.2114310270734852, + "grad_norm": 1.171875, + "learning_rate": 0.0004983582633221672, + "loss": 6.3859, + "mean_token_accuracy": 0.1407300591468811, + "num_tokens": 2554947.0, + "step": 1410 + }, + { + "entropy": 6.765527582168579, + "epoch": 1.2157284056725397, + "grad_norm": 1.0234375, + "learning_rate": 0.0004983179280991068, + "loss": 6.5354, + "mean_token_accuracy": 0.13627680763602257, + "num_tokens": 2564462.0, + "step": 1415 + }, + { + "entropy": 6.688222122192383, + "epoch": 1.2200257842715942, + "grad_norm": 1.1328125, + "learning_rate": 0.0004982771052389508, + "loss": 6.3743, + "mean_token_accuracy": 0.1444454774260521, + "num_tokens": 2573124.0, + "step": 1420 + }, + { + "entropy": 6.700618696212769, + "epoch": 1.224323162870649, + "grad_norm": 1.1484375, + "learning_rate": 0.0004982357948308401, + "loss": 6.4798, + "mean_token_accuracy": 0.13040754944086075, + "num_tokens": 2581829.0, + "step": 1425 + }, + { + "entropy": 6.7136975765228275, + "epoch": 1.2286205414697036, + "grad_norm": 1.1328125, + "learning_rate": 0.0004981939969649799, + "loss": 6.3405, + "mean_token_accuracy": 0.1422662131488323, + "num_tokens": 2590631.0, + "step": 1430 + }, + { + "entropy": 6.661464500427246, + "epoch": 1.232917920068758, + "grad_norm": 1.1796875, + "learning_rate": 0.0004981517117326404, + "loss": 6.4484, + "mean_token_accuracy": 0.13987314701080322, + "num_tokens": 2600684.0, + "step": 1435 + }, + { + "entropy": 6.6479767799377445, + "epoch": 1.2372152986678127, + "grad_norm": 1.0859375, + "learning_rate": 0.0004981089392261553, + "loss": 6.3605, + "mean_token_accuracy": 0.14449947997927665, + "num_tokens": 2609667.0, + "step": 1440 + }, + { + "entropy": 6.643135976791382, + "epoch": 1.2415126772668672, + "grad_norm": 1.0, + "learning_rate": 0.000498065679538923, + "loss": 6.4317, + "mean_token_accuracy": 0.14703501164913177, + "num_tokens": 2620025.0, + "step": 1445 + }, + { + "entropy": 6.672731685638428, + "epoch": 1.2458100558659218, + "grad_norm": 1.1484375, + "learning_rate": 0.0004980219327654049, + "loss": 6.351, + "mean_token_accuracy": 0.14008775800466539, + "num_tokens": 2629032.0, + "step": 1450 + }, + { + "entropy": 6.605780506134034, + "epoch": 1.2501074344649763, + "grad_norm": 1.15625, + "learning_rate": 0.000497977699001127, + "loss": 6.3357, + "mean_token_accuracy": 0.1428795799612999, + "num_tokens": 2638303.0, + "step": 1455 + }, + { + "entropy": 6.698618459701538, + "epoch": 1.2544048130640308, + "grad_norm": 1.1328125, + "learning_rate": 0.0004979329783426778, + "loss": 6.3527, + "mean_token_accuracy": 0.14518981352448462, + "num_tokens": 2647902.0, + "step": 1460 + }, + { + "entropy": 6.619544601440429, + "epoch": 1.2587021916630854, + "grad_norm": 1.1015625, + "learning_rate": 0.0004978877708877094, + "loss": 6.4046, + "mean_token_accuracy": 0.1414396196603775, + "num_tokens": 2657902.0, + "step": 1465 + }, + { + "entropy": 6.67303991317749, + "epoch": 1.2629995702621402, + "grad_norm": 1.09375, + "learning_rate": 0.0004978420767349368, + "loss": 6.3504, + "mean_token_accuracy": 0.14340997561812402, + "num_tokens": 2667082.0, + "step": 1470 + }, + { + "entropy": 6.647952270507813, + "epoch": 1.2672969488611947, + "grad_norm": 1.0546875, + "learning_rate": 0.0004977958959841379, + "loss": 6.4223, + "mean_token_accuracy": 0.1364084042608738, + "num_tokens": 2676855.0, + "step": 1475 + }, + { + "entropy": 6.6442427158355715, + "epoch": 1.2715943274602493, + "grad_norm": 1.1015625, + "learning_rate": 0.000497749228736153, + "loss": 6.3546, + "mean_token_accuracy": 0.145116026699543, + "num_tokens": 2685750.0, + "step": 1480 + }, + { + "entropy": 6.597840929031372, + "epoch": 1.2758917060593038, + "grad_norm": 1.1953125, + "learning_rate": 0.0004977020750928845, + "loss": 6.4075, + "mean_token_accuracy": 0.14761355221271516, + "num_tokens": 2695272.0, + "step": 1485 + }, + { + "entropy": 6.709882497787476, + "epoch": 1.2801890846583583, + "grad_norm": 1.0703125, + "learning_rate": 0.0004976544351572973, + "loss": 6.3504, + "mean_token_accuracy": 0.1418570265173912, + "num_tokens": 2704806.0, + "step": 1490 + }, + { + "entropy": 6.533363771438599, + "epoch": 1.2844864632574131, + "grad_norm": 1.09375, + "learning_rate": 0.0004976063090334179, + "loss": 6.4036, + "mean_token_accuracy": 0.1452034071087837, + "num_tokens": 2713521.0, + "step": 1495 + }, + { + "entropy": 6.7042053699493405, + "epoch": 1.2887838418564677, + "grad_norm": 1.171875, + "learning_rate": 0.0004975576968263346, + "loss": 6.3966, + "mean_token_accuracy": 0.1381194919347763, + "num_tokens": 2721848.0, + "step": 1500 + }, + { + "epoch": 1.2887838418564677, + "eval_entropy": 6.494678375957249, + "eval_loss": 6.482933044433594, + "eval_mean_token_accuracy": 0.14236528785513328, + "eval_num_tokens": 2721848.0, + "eval_runtime": 2.0538, + "eval_samples_per_second": 1728.039, + "eval_steps_per_second": 216.187, + "step": 1500 + }, + { + "entropy": 6.592136430740356, + "epoch": 1.2930812204555222, + "grad_norm": 0.9921875, + "learning_rate": 0.000497508598642197, + "loss": 6.3613, + "mean_token_accuracy": 0.14413030222058296, + "num_tokens": 2731473.0, + "step": 1505 + }, + { + "entropy": 6.610020494461059, + "epoch": 1.2973785990545768, + "grad_norm": 1.09375, + "learning_rate": 0.000497459014588216, + "loss": 6.4326, + "mean_token_accuracy": 0.141157578676939, + "num_tokens": 2739867.0, + "step": 1510 + }, + { + "entropy": 6.684322929382324, + "epoch": 1.3016759776536313, + "grad_norm": 1.15625, + "learning_rate": 0.000497408944772663, + "loss": 6.3442, + "mean_token_accuracy": 0.14187844544649125, + "num_tokens": 2748903.0, + "step": 1515 + }, + { + "entropy": 6.512551116943359, + "epoch": 1.3059733562526858, + "grad_norm": 1.1015625, + "learning_rate": 0.0004973583893048707, + "loss": 6.3389, + "mean_token_accuracy": 0.14152248129248618, + "num_tokens": 2757711.0, + "step": 1520 + }, + { + "entropy": 6.74653639793396, + "epoch": 1.3102707348517404, + "grad_norm": 1.1328125, + "learning_rate": 0.0004973073482952321, + "loss": 6.358, + "mean_token_accuracy": 0.140853676199913, + "num_tokens": 2765633.0, + "step": 1525 + }, + { + "entropy": 6.572407674789429, + "epoch": 1.314568113450795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004972558218552004, + "loss": 6.3982, + "mean_token_accuracy": 0.14053191468119622, + "num_tokens": 2774495.0, + "step": 1530 + }, + { + "entropy": 6.645643854141236, + "epoch": 1.3188654920498495, + "grad_norm": 1.1640625, + "learning_rate": 0.0004972038100972885, + "loss": 6.4066, + "mean_token_accuracy": 0.1426756389439106, + "num_tokens": 2782665.0, + "step": 1535 + }, + { + "entropy": 6.549836540222168, + "epoch": 1.323162870648904, + "grad_norm": 1.3671875, + "learning_rate": 0.0004971513131350697, + "loss": 6.356, + "mean_token_accuracy": 0.13861292153596877, + "num_tokens": 2791394.0, + "step": 1540 + }, + { + "entropy": 6.566079998016358, + "epoch": 1.3274602492479588, + "grad_norm": 1.2265625, + "learning_rate": 0.0004970983310831759, + "loss": 6.3437, + "mean_token_accuracy": 0.1422226123511791, + "num_tokens": 2800488.0, + "step": 1545 + }, + { + "entropy": 6.6656012535095215, + "epoch": 1.3317576278470133, + "grad_norm": 1.03125, + "learning_rate": 0.0004970448640572989, + "loss": 6.4644, + "mean_token_accuracy": 0.14133307337760925, + "num_tokens": 2810116.0, + "step": 1550 + }, + { + "entropy": 6.59561824798584, + "epoch": 1.336055006446068, + "grad_norm": 0.984375, + "learning_rate": 0.0004969909121741895, + "loss": 6.2592, + "mean_token_accuracy": 0.14750397205352783, + "num_tokens": 2819205.0, + "step": 1555 + }, + { + "entropy": 6.559555625915527, + "epoch": 1.3403523850451224, + "grad_norm": 1.140625, + "learning_rate": 0.0004969364755516569, + "loss": 6.3311, + "mean_token_accuracy": 0.14398850798606871, + "num_tokens": 2828017.0, + "step": 1560 + }, + { + "entropy": 6.688138008117676, + "epoch": 1.344649763644177, + "grad_norm": 1.1484375, + "learning_rate": 0.0004968815543085689, + "loss": 6.3815, + "mean_token_accuracy": 0.145321074873209, + "num_tokens": 2837125.0, + "step": 1565 + }, + { + "entropy": 6.569426822662353, + "epoch": 1.3489471422432318, + "grad_norm": 1.1015625, + "learning_rate": 0.0004968261485648516, + "loss": 6.3921, + "mean_token_accuracy": 0.14212561994791031, + "num_tokens": 2845438.0, + "step": 1570 + }, + { + "entropy": 6.608628225326538, + "epoch": 1.3532445208422863, + "grad_norm": 1.0546875, + "learning_rate": 0.000496770258441489, + "loss": 6.3689, + "mean_token_accuracy": 0.1471138596534729, + "num_tokens": 2854389.0, + "step": 1575 + }, + { + "entropy": 6.556783771514892, + "epoch": 1.3575418994413408, + "grad_norm": 1.0859375, + "learning_rate": 0.0004967138840605228, + "loss": 6.3281, + "mean_token_accuracy": 0.14712274819612503, + "num_tokens": 2863654.0, + "step": 1580 + }, + { + "entropy": 6.517911720275879, + "epoch": 1.3618392780403954, + "grad_norm": 1.1171875, + "learning_rate": 0.000496657025545052, + "loss": 6.2482, + "mean_token_accuracy": 0.15075734853744507, + "num_tokens": 2872871.0, + "step": 1585 + }, + { + "entropy": 6.5070977210998535, + "epoch": 1.36613665663945, + "grad_norm": 1.15625, + "learning_rate": 0.000496599683019233, + "loss": 6.3373, + "mean_token_accuracy": 0.1449791297316551, + "num_tokens": 2881140.0, + "step": 1590 + }, + { + "entropy": 6.6506085872650145, + "epoch": 1.3704340352385045, + "grad_norm": 1.09375, + "learning_rate": 0.000496541856608279, + "loss": 6.3251, + "mean_token_accuracy": 0.14629032611846923, + "num_tokens": 2889945.0, + "step": 1595 + }, + { + "entropy": 6.464802026748657, + "epoch": 1.374731413837559, + "grad_norm": 0.9921875, + "learning_rate": 0.0004964835464384595, + "loss": 6.254, + "mean_token_accuracy": 0.14956037551164628, + "num_tokens": 2898897.0, + "step": 1600 + }, + { + "entropy": 6.606829452514648, + "epoch": 1.3790287924366136, + "grad_norm": 1.1484375, + "learning_rate": 0.000496424752637101, + "loss": 6.2819, + "mean_token_accuracy": 0.15412394404411317, + "num_tokens": 2907717.0, + "step": 1605 + }, + { + "entropy": 6.513754224777221, + "epoch": 1.3833261710356681, + "grad_norm": 1.109375, + "learning_rate": 0.0004963654753325853, + "loss": 6.2693, + "mean_token_accuracy": 0.1435668349266052, + "num_tokens": 2916213.0, + "step": 1610 + }, + { + "entropy": 6.6343999862670895, + "epoch": 1.387623549634723, + "grad_norm": 1.03125, + "learning_rate": 0.0004963057146543505, + "loss": 6.4423, + "mean_token_accuracy": 0.13986597284674646, + "num_tokens": 2925706.0, + "step": 1615 + }, + { + "entropy": 6.570179843902588, + "epoch": 1.3919209282337774, + "grad_norm": 1.0546875, + "learning_rate": 0.00049624547073289, + "loss": 6.3511, + "mean_token_accuracy": 0.13794696033000947, + "num_tokens": 2934464.0, + "step": 1620 + }, + { + "entropy": 6.570999479293823, + "epoch": 1.396218306832832, + "grad_norm": 1.171875, + "learning_rate": 0.0004961847436997526, + "loss": 6.2482, + "mean_token_accuracy": 0.1511821575462818, + "num_tokens": 2944095.0, + "step": 1625 + }, + { + "entropy": 6.450803470611572, + "epoch": 1.4005156854318865, + "grad_norm": 1.1484375, + "learning_rate": 0.0004961235336875416, + "loss": 6.249, + "mean_token_accuracy": 0.1513315513730049, + "num_tokens": 2953357.0, + "step": 1630 + }, + { + "entropy": 6.5238546371459964, + "epoch": 1.404813064030941, + "grad_norm": 1.1484375, + "learning_rate": 0.0004960618408299154, + "loss": 6.4089, + "mean_token_accuracy": 0.1346985176205635, + "num_tokens": 2963020.0, + "step": 1635 + }, + { + "entropy": 6.61925859451294, + "epoch": 1.4091104426299956, + "grad_norm": 1.0859375, + "learning_rate": 0.0004959996652615865, + "loss": 6.2427, + "mean_token_accuracy": 0.1468616619706154, + "num_tokens": 2971955.0, + "step": 1640 + }, + { + "entropy": 6.584984397888183, + "epoch": 1.4134078212290504, + "grad_norm": 1.1015625, + "learning_rate": 0.0004959370071183216, + "loss": 6.3097, + "mean_token_accuracy": 0.14391712918877603, + "num_tokens": 2980662.0, + "step": 1645 + }, + { + "entropy": 6.6156212329864506, + "epoch": 1.417705199828105, + "grad_norm": 1.2734375, + "learning_rate": 0.0004958738665369407, + "loss": 6.439, + "mean_token_accuracy": 0.12904247269034386, + "num_tokens": 2990038.0, + "step": 1650 + }, + { + "entropy": 6.566392660140991, + "epoch": 1.4220025784271595, + "grad_norm": 1.1875, + "learning_rate": 0.0004958102436553179, + "loss": 6.3627, + "mean_token_accuracy": 0.1401166081428528, + "num_tokens": 2999835.0, + "step": 1655 + }, + { + "entropy": 6.622867441177368, + "epoch": 1.426299957026214, + "grad_norm": 1.0234375, + "learning_rate": 0.00049574613861238, + "loss": 6.3528, + "mean_token_accuracy": 0.1401872843503952, + "num_tokens": 3009593.0, + "step": 1660 + }, + { + "entropy": 6.564433908462524, + "epoch": 1.4305973356252686, + "grad_norm": 1.0546875, + "learning_rate": 0.0004956815515481069, + "loss": 6.3748, + "mean_token_accuracy": 0.14576212018728257, + "num_tokens": 3019187.0, + "step": 1665 + }, + { + "entropy": 6.528054189682007, + "epoch": 1.4348947142243231, + "grad_norm": 1.1171875, + "learning_rate": 0.0004956164826035309, + "loss": 6.2839, + "mean_token_accuracy": 0.14402172416448594, + "num_tokens": 3027875.0, + "step": 1670 + }, + { + "entropy": 6.481614637374878, + "epoch": 1.4391920928233777, + "grad_norm": 1.1484375, + "learning_rate": 0.0004955509319207363, + "loss": 6.3184, + "mean_token_accuracy": 0.14420104324817656, + "num_tokens": 3036902.0, + "step": 1675 + }, + { + "entropy": 6.46042537689209, + "epoch": 1.4434894714224322, + "grad_norm": 0.96875, + "learning_rate": 0.0004954848996428601, + "loss": 6.2969, + "mean_token_accuracy": 0.1498032405972481, + "num_tokens": 3046653.0, + "step": 1680 + }, + { + "entropy": 6.64046082496643, + "epoch": 1.4477868500214868, + "grad_norm": 1.3203125, + "learning_rate": 0.00049541838591409, + "loss": 6.3977, + "mean_token_accuracy": 0.14052897915244103, + "num_tokens": 3056273.0, + "step": 1685 + }, + { + "entropy": 6.529829502105713, + "epoch": 1.4520842286205415, + "grad_norm": 1.078125, + "learning_rate": 0.0004953513908796657, + "loss": 6.2999, + "mean_token_accuracy": 0.13732842430472375, + "num_tokens": 3065662.0, + "step": 1690 + }, + { + "entropy": 6.594562721252442, + "epoch": 1.456381607219596, + "grad_norm": 1.1953125, + "learning_rate": 0.0004952839146858773, + "loss": 6.3277, + "mean_token_accuracy": 0.14757051467895507, + "num_tokens": 3073970.0, + "step": 1695 + }, + { + "entropy": 6.531829500198365, + "epoch": 1.4606789858186506, + "grad_norm": 1.1875, + "learning_rate": 0.0004952159574800658, + "loss": 6.3209, + "mean_token_accuracy": 0.14381522089242935, + "num_tokens": 3082500.0, + "step": 1700 + }, + { + "entropy": 6.566446447372437, + "epoch": 1.4649763644177052, + "grad_norm": 1.1171875, + "learning_rate": 0.0004951475194106229, + "loss": 6.2777, + "mean_token_accuracy": 0.14633866250514985, + "num_tokens": 3091574.0, + "step": 1705 + }, + { + "entropy": 6.512380361557007, + "epoch": 1.4692737430167597, + "grad_norm": 1.046875, + "learning_rate": 0.0004950786006269898, + "loss": 6.3852, + "mean_token_accuracy": 0.13938545510172845, + "num_tokens": 3102402.0, + "step": 1710 + }, + { + "entropy": 6.59727463722229, + "epoch": 1.4735711216158143, + "grad_norm": 1.1640625, + "learning_rate": 0.0004950092012796576, + "loss": 6.2072, + "mean_token_accuracy": 0.15373199433088303, + "num_tokens": 3111347.0, + "step": 1715 + }, + { + "entropy": 6.486224889755249, + "epoch": 1.477868500214869, + "grad_norm": 1.1640625, + "learning_rate": 0.0004949393215201666, + "loss": 6.2833, + "mean_token_accuracy": 0.14614666104316712, + "num_tokens": 3120018.0, + "step": 1720 + }, + { + "entropy": 6.4936051845550535, + "epoch": 1.4821658788139236, + "grad_norm": 1.0, + "learning_rate": 0.0004948689615011065, + "loss": 6.3484, + "mean_token_accuracy": 0.13831731379032136, + "num_tokens": 3129669.0, + "step": 1725 + }, + { + "entropy": 6.6139086246490475, + "epoch": 1.4864632574129781, + "grad_norm": 0.98828125, + "learning_rate": 0.0004947981213761154, + "loss": 6.2794, + "mean_token_accuracy": 0.15020036697387695, + "num_tokens": 3139112.0, + "step": 1730 + }, + { + "entropy": 6.510036754608154, + "epoch": 1.4907606360120327, + "grad_norm": 1.09375, + "learning_rate": 0.0004947268012998797, + "loss": 6.2427, + "mean_token_accuracy": 0.15479698032140732, + "num_tokens": 3148437.0, + "step": 1735 + }, + { + "entropy": 6.490271472930909, + "epoch": 1.4950580146110872, + "grad_norm": 0.984375, + "learning_rate": 0.000494655001428134, + "loss": 6.2146, + "mean_token_accuracy": 0.15289759933948516, + "num_tokens": 3158165.0, + "step": 1740 + }, + { + "entropy": 6.521289396286011, + "epoch": 1.4993553932101418, + "grad_norm": 1.09375, + "learning_rate": 0.0004945827219176604, + "loss": 6.3026, + "mean_token_accuracy": 0.1522263005375862, + "num_tokens": 3167262.0, + "step": 1745 + }, + { + "entropy": 6.448360395431519, + "epoch": 1.5036527718091963, + "grad_norm": 1.03125, + "learning_rate": 0.0004945099629262888, + "loss": 6.2841, + "mean_token_accuracy": 0.14779476150870324, + "num_tokens": 3176696.0, + "step": 1750 + }, + { + "entropy": 6.6200721740722654, + "epoch": 1.5079501504082509, + "grad_norm": 1.109375, + "learning_rate": 0.0004944367246128954, + "loss": 6.3626, + "mean_token_accuracy": 0.1411810874938965, + "num_tokens": 3185857.0, + "step": 1755 + }, + { + "entropy": 6.497649145126343, + "epoch": 1.5122475290073054, + "grad_norm": 1.09375, + "learning_rate": 0.0004943630071374036, + "loss": 6.2129, + "mean_token_accuracy": 0.15686369836330413, + "num_tokens": 3194687.0, + "step": 1760 + }, + { + "entropy": 6.447890901565552, + "epoch": 1.51654490760636, + "grad_norm": 1.03125, + "learning_rate": 0.0004942888106607828, + "loss": 6.2715, + "mean_token_accuracy": 0.14421172440052032, + "num_tokens": 3204913.0, + "step": 1765 + }, + { + "entropy": 6.556134462356567, + "epoch": 1.5208422862054147, + "grad_norm": 1.0625, + "learning_rate": 0.0004942141353450486, + "loss": 6.2587, + "mean_token_accuracy": 0.14712465703487396, + "num_tokens": 3213312.0, + "step": 1770 + }, + { + "entropy": 6.4831544876098635, + "epoch": 1.5251396648044693, + "grad_norm": 0.9921875, + "learning_rate": 0.0004941389813532619, + "loss": 6.1822, + "mean_token_accuracy": 0.1586100459098816, + "num_tokens": 3222992.0, + "step": 1775 + }, + { + "entropy": 6.385056638717652, + "epoch": 1.5294370434035238, + "grad_norm": 1.0625, + "learning_rate": 0.000494063348849529, + "loss": 6.2213, + "mean_token_accuracy": 0.15424711555242537, + "num_tokens": 3232836.0, + "step": 1780 + }, + { + "entropy": 6.574507141113282, + "epoch": 1.5337344220025786, + "grad_norm": 0.98046875, + "learning_rate": 0.0004939872379990011, + "loss": 6.3769, + "mean_token_accuracy": 0.14118290394544603, + "num_tokens": 3243171.0, + "step": 1785 + }, + { + "entropy": 6.56547212600708, + "epoch": 1.5380318006016331, + "grad_norm": 1.203125, + "learning_rate": 0.0004939106489678739, + "loss": 6.2954, + "mean_token_accuracy": 0.15190573930740356, + "num_tokens": 3251995.0, + "step": 1790 + }, + { + "entropy": 6.440187692642212, + "epoch": 1.5423291792006877, + "grad_norm": 1.0390625, + "learning_rate": 0.000493833581923387, + "loss": 6.2474, + "mean_token_accuracy": 0.14897289276123046, + "num_tokens": 3260841.0, + "step": 1795 + }, + { + "entropy": 6.5475788593292235, + "epoch": 1.5466265577997422, + "grad_norm": 1.078125, + "learning_rate": 0.0004937560370338244, + "loss": 6.382, + "mean_token_accuracy": 0.14083073958754538, + "num_tokens": 3270979.0, + "step": 1800 + }, + { + "entropy": 6.536606645584106, + "epoch": 1.5509239363987968, + "grad_norm": 1.1015625, + "learning_rate": 0.000493678014468513, + "loss": 6.307, + "mean_token_accuracy": 0.1528750814497471, + "num_tokens": 3279848.0, + "step": 1805 + }, + { + "entropy": 6.46652889251709, + "epoch": 1.5552213149978513, + "grad_norm": 0.9921875, + "learning_rate": 0.0004935995143978227, + "loss": 6.311, + "mean_token_accuracy": 0.14874453395605086, + "num_tokens": 3289172.0, + "step": 1810 + }, + { + "entropy": 6.480955171585083, + "epoch": 1.5595186935969059, + "grad_norm": 1.1796875, + "learning_rate": 0.0004935205369931664, + "loss": 6.2107, + "mean_token_accuracy": 0.15236888080835342, + "num_tokens": 3297432.0, + "step": 1815 + }, + { + "entropy": 6.62280158996582, + "epoch": 1.5638160721959604, + "grad_norm": 0.96875, + "learning_rate": 0.0004934410824269992, + "loss": 6.2391, + "mean_token_accuracy": 0.1460478588938713, + "num_tokens": 3307486.0, + "step": 1820 + }, + { + "entropy": 6.396580219268799, + "epoch": 1.568113450795015, + "grad_norm": 1.0703125, + "learning_rate": 0.0004933611508728182, + "loss": 6.2234, + "mean_token_accuracy": 0.15543457493185997, + "num_tokens": 3316296.0, + "step": 1825 + }, + { + "entropy": 6.48117151260376, + "epoch": 1.5724108293940695, + "grad_norm": 1.0390625, + "learning_rate": 0.000493280742505162, + "loss": 6.2496, + "mean_token_accuracy": 0.14565204530954362, + "num_tokens": 3326080.0, + "step": 1830 + }, + { + "entropy": 6.399107646942139, + "epoch": 1.576708207993124, + "grad_norm": 1.1328125, + "learning_rate": 0.0004931998574996102, + "loss": 6.1637, + "mean_token_accuracy": 0.1557439833879471, + "num_tokens": 3334826.0, + "step": 1835 + }, + { + "entropy": 6.395985460281372, + "epoch": 1.5810055865921788, + "grad_norm": 1.1171875, + "learning_rate": 0.0004931184960327832, + "loss": 6.166, + "mean_token_accuracy": 0.15891503393650055, + "num_tokens": 3343261.0, + "step": 1840 + }, + { + "entropy": 6.439464569091797, + "epoch": 1.5853029651912334, + "grad_norm": 1.6953125, + "learning_rate": 0.0004930366582823421, + "loss": 6.2095, + "mean_token_accuracy": 0.14784578159451484, + "num_tokens": 3352513.0, + "step": 1845 + }, + { + "entropy": 6.446910238265991, + "epoch": 1.589600343790288, + "grad_norm": 1.203125, + "learning_rate": 0.0004929543444269879, + "loss": 6.2679, + "mean_token_accuracy": 0.15295199751853944, + "num_tokens": 3361577.0, + "step": 1850 + }, + { + "entropy": 6.4689103126525875, + "epoch": 1.5938977223893425, + "grad_norm": 1.171875, + "learning_rate": 0.000492871554646461, + "loss": 6.327, + "mean_token_accuracy": 0.14370332658290863, + "num_tokens": 3370591.0, + "step": 1855 + }, + { + "entropy": 6.443254470825195, + "epoch": 1.5981951009883972, + "grad_norm": 1.0859375, + "learning_rate": 0.0004927882891215413, + "loss": 6.2437, + "mean_token_accuracy": 0.14615294709801674, + "num_tokens": 3379761.0, + "step": 1860 + }, + { + "entropy": 6.549100685119629, + "epoch": 1.6024924795874518, + "grad_norm": 1.203125, + "learning_rate": 0.0004927045480340475, + "loss": 6.3212, + "mean_token_accuracy": 0.1414845257997513, + "num_tokens": 3388974.0, + "step": 1865 + }, + { + "entropy": 6.428477334976196, + "epoch": 1.6067898581865063, + "grad_norm": 1.015625, + "learning_rate": 0.0004926203315668363, + "loss": 6.2385, + "mean_token_accuracy": 0.15081687197089194, + "num_tokens": 3398339.0, + "step": 1870 + }, + { + "entropy": 6.499061059951782, + "epoch": 1.6110872367855609, + "grad_norm": 1.0625, + "learning_rate": 0.0004925356399038032, + "loss": 6.2121, + "mean_token_accuracy": 0.15119217038154603, + "num_tokens": 3408292.0, + "step": 1875 + }, + { + "entropy": 6.460348415374756, + "epoch": 1.6153846153846154, + "grad_norm": 1.09375, + "learning_rate": 0.0004924504732298808, + "loss": 6.1809, + "mean_token_accuracy": 0.15673429295420646, + "num_tokens": 3417057.0, + "step": 1880 + }, + { + "entropy": 6.498525190353393, + "epoch": 1.61968199398367, + "grad_norm": 1.1171875, + "learning_rate": 0.0004923648317310391, + "loss": 6.2886, + "mean_token_accuracy": 0.15057691931724548, + "num_tokens": 3425830.0, + "step": 1885 + }, + { + "entropy": 6.466361808776855, + "epoch": 1.6239793725827245, + "grad_norm": 1.015625, + "learning_rate": 0.0004922787155942849, + "loss": 6.3261, + "mean_token_accuracy": 0.14087508171796798, + "num_tokens": 3435513.0, + "step": 1890 + }, + { + "entropy": 6.480417251586914, + "epoch": 1.628276751181779, + "grad_norm": 1.046875, + "learning_rate": 0.0004921921250076611, + "loss": 6.2319, + "mean_token_accuracy": 0.1488749422132969, + "num_tokens": 3444684.0, + "step": 1895 + }, + { + "entropy": 6.398703765869141, + "epoch": 1.6325741297808336, + "grad_norm": 1.15625, + "learning_rate": 0.0004921050601602475, + "loss": 6.309, + "mean_token_accuracy": 0.15032647401094437, + "num_tokens": 3453454.0, + "step": 1900 + }, + { + "entropy": 6.512422227859497, + "epoch": 1.6368715083798882, + "grad_norm": 1.125, + "learning_rate": 0.0004920175212421587, + "loss": 6.2317, + "mean_token_accuracy": 0.1462756022810936, + "num_tokens": 3463228.0, + "step": 1905 + }, + { + "entropy": 6.298534250259399, + "epoch": 1.6411688869789427, + "grad_norm": 1.0546875, + "learning_rate": 0.0004919295084445445, + "loss": 6.1203, + "mean_token_accuracy": 0.15622290521860122, + "num_tokens": 3472131.0, + "step": 1910 + }, + { + "entropy": 6.46199779510498, + "epoch": 1.6454662655779975, + "grad_norm": 1.03125, + "learning_rate": 0.0004918410219595899, + "loss": 6.1947, + "mean_token_accuracy": 0.15805622637271882, + "num_tokens": 3480642.0, + "step": 1915 + }, + { + "entropy": 6.536061143875122, + "epoch": 1.649763644177052, + "grad_norm": 1.0078125, + "learning_rate": 0.000491752061980514, + "loss": 6.1748, + "mean_token_accuracy": 0.15212914645671843, + "num_tokens": 3489346.0, + "step": 1920 + }, + { + "entropy": 6.385542201995849, + "epoch": 1.6540610227761066, + "grad_norm": 1.125, + "learning_rate": 0.0004916626287015697, + "loss": 6.2236, + "mean_token_accuracy": 0.1506744407117367, + "num_tokens": 3498473.0, + "step": 1925 + }, + { + "entropy": 6.4339292526245115, + "epoch": 1.658358401375161, + "grad_norm": 1.03125, + "learning_rate": 0.0004915727223180436, + "loss": 6.2184, + "mean_token_accuracy": 0.1503354400396347, + "num_tokens": 3507415.0, + "step": 1930 + }, + { + "entropy": 6.472232723236084, + "epoch": 1.6626557799742159, + "grad_norm": 1.03125, + "learning_rate": 0.0004914823430262554, + "loss": 6.3466, + "mean_token_accuracy": 0.13937689363956451, + "num_tokens": 3516873.0, + "step": 1935 + }, + { + "entropy": 6.475211191177368, + "epoch": 1.6669531585732704, + "grad_norm": 1.1796875, + "learning_rate": 0.0004913914910235573, + "loss": 6.2023, + "mean_token_accuracy": 0.15309734791517257, + "num_tokens": 3525047.0, + "step": 1940 + }, + { + "entropy": 6.334531784057617, + "epoch": 1.671250537172325, + "grad_norm": 1.1015625, + "learning_rate": 0.0004913001665083337, + "loss": 6.2098, + "mean_token_accuracy": 0.1510941930115223, + "num_tokens": 3534354.0, + "step": 1945 + }, + { + "entropy": 6.499793291091919, + "epoch": 1.6755479157713795, + "grad_norm": 1.3203125, + "learning_rate": 0.0004912083696800008, + "loss": 6.2384, + "mean_token_accuracy": 0.14515842348337174, + "num_tokens": 3543830.0, + "step": 1950 + }, + { + "entropy": 6.334777593612671, + "epoch": 1.679845294370434, + "grad_norm": 1.125, + "learning_rate": 0.0004911161007390063, + "loss": 6.1344, + "mean_token_accuracy": 0.1552545964717865, + "num_tokens": 3552314.0, + "step": 1955 + }, + { + "entropy": 6.398986530303955, + "epoch": 1.6841426729694886, + "grad_norm": 1.203125, + "learning_rate": 0.0004910233598868287, + "loss": 6.2232, + "mean_token_accuracy": 0.14675267040729523, + "num_tokens": 3561656.0, + "step": 1960 + }, + { + "entropy": 6.426092958450317, + "epoch": 1.6884400515685432, + "grad_norm": 1.09375, + "learning_rate": 0.0004909301473259769, + "loss": 6.2232, + "mean_token_accuracy": 0.14848204478621482, + "num_tokens": 3571784.0, + "step": 1965 + }, + { + "entropy": 6.454012489318847, + "epoch": 1.6927374301675977, + "grad_norm": 1.0859375, + "learning_rate": 0.0004908364632599899, + "loss": 6.1775, + "mean_token_accuracy": 0.15773458033800125, + "num_tokens": 3580626.0, + "step": 1970 + }, + { + "entropy": 6.337477779388427, + "epoch": 1.6970348087666522, + "grad_norm": 1.0703125, + "learning_rate": 0.0004907423078934362, + "loss": 6.2001, + "mean_token_accuracy": 0.14792972654104233, + "num_tokens": 3589916.0, + "step": 1975 + }, + { + "entropy": 6.395978736877441, + "epoch": 1.7013321873657068, + "grad_norm": 1.0546875, + "learning_rate": 0.0004906476814319134, + "loss": 6.2045, + "mean_token_accuracy": 0.15436216294765473, + "num_tokens": 3599128.0, + "step": 1980 + }, + { + "entropy": 6.384798145294189, + "epoch": 1.7056295659647613, + "grad_norm": 0.890625, + "learning_rate": 0.0004905525840820481, + "loss": 6.2156, + "mean_token_accuracy": 0.1487440824508667, + "num_tokens": 3608764.0, + "step": 1985 + }, + { + "entropy": 6.519760847091675, + "epoch": 1.709926944563816, + "grad_norm": 0.984375, + "learning_rate": 0.0004904570160514948, + "loss": 6.2587, + "mean_token_accuracy": 0.14064486026763917, + "num_tokens": 3619082.0, + "step": 1990 + }, + { + "entropy": 6.396596527099609, + "epoch": 1.7142243231628707, + "grad_norm": 1.171875, + "learning_rate": 0.0004903609775489358, + "loss": 6.2232, + "mean_token_accuracy": 0.14829822033643722, + "num_tokens": 3628695.0, + "step": 1995 + }, + { + "entropy": 6.453386020660401, + "epoch": 1.7185217017619252, + "grad_norm": 1.1484375, + "learning_rate": 0.0004902644687840809, + "loss": 6.2106, + "mean_token_accuracy": 0.14628567397594452, + "num_tokens": 3637599.0, + "step": 2000 + }, + { + "epoch": 1.7185217017619252, + "eval_entropy": 6.120181280213433, + "eval_loss": 6.287801742553711, + "eval_mean_token_accuracy": 0.15146609128931085, + "eval_num_tokens": 3637599.0, + "eval_runtime": 2.0623, + "eval_samples_per_second": 1720.853, + "eval_steps_per_second": 215.289, + "step": 2000 + }, + { + "entropy": 6.389330768585205, + "epoch": 1.7228190803609797, + "grad_norm": 1.1640625, + "learning_rate": 0.0004901674899676667, + "loss": 6.189, + "mean_token_accuracy": 0.15087567865848542, + "num_tokens": 3647406.0, + "step": 2005 + }, + { + "entropy": 6.32288761138916, + "epoch": 1.7271164589600345, + "grad_norm": 1.0546875, + "learning_rate": 0.0004900700413114561, + "loss": 6.0845, + "mean_token_accuracy": 0.15229684859514236, + "num_tokens": 3656531.0, + "step": 2010 + }, + { + "entropy": 6.2982823848724365, + "epoch": 1.731413837559089, + "grad_norm": 1.0078125, + "learning_rate": 0.000489972123028238, + "loss": 6.1711, + "mean_token_accuracy": 0.14639344438910484, + "num_tokens": 3664922.0, + "step": 2015 + }, + { + "entropy": 6.42927360534668, + "epoch": 1.7357112161581436, + "grad_norm": 1.0625, + "learning_rate": 0.0004898737353318268, + "loss": 6.114, + "mean_token_accuracy": 0.15603691339492798, + "num_tokens": 3673283.0, + "step": 2020 + }, + { + "entropy": 6.379903554916382, + "epoch": 1.7400085947571982, + "grad_norm": 1.1796875, + "learning_rate": 0.000489774878437062, + "loss": 6.2432, + "mean_token_accuracy": 0.1512456476688385, + "num_tokens": 3681760.0, + "step": 2025 + }, + { + "entropy": 6.362637662887574, + "epoch": 1.7443059733562527, + "grad_norm": 1.0859375, + "learning_rate": 0.0004896755525598074, + "loss": 6.0576, + "mean_token_accuracy": 0.15525488257408143, + "num_tokens": 3689408.0, + "step": 2030 + }, + { + "entropy": 6.350458097457886, + "epoch": 1.7486033519553073, + "grad_norm": 1.1484375, + "learning_rate": 0.0004895757579169511, + "loss": 6.1868, + "mean_token_accuracy": 0.1519346058368683, + "num_tokens": 3697904.0, + "step": 2035 + }, + { + "entropy": 6.549949407577515, + "epoch": 1.7529007305543618, + "grad_norm": 1.0234375, + "learning_rate": 0.0004894754947264047, + "loss": 6.2025, + "mean_token_accuracy": 0.1540897861123085, + "num_tokens": 3706704.0, + "step": 2040 + }, + { + "entropy": 6.33614501953125, + "epoch": 1.7571981091534163, + "grad_norm": 1.140625, + "learning_rate": 0.000489374763207103, + "loss": 6.2858, + "mean_token_accuracy": 0.14759851694107057, + "num_tokens": 3715690.0, + "step": 2045 + }, + { + "entropy": 6.4482136249542235, + "epoch": 1.761495487752471, + "grad_norm": 1.1484375, + "learning_rate": 0.0004892735635790033, + "loss": 6.0651, + "mean_token_accuracy": 0.16219264268875122, + "num_tokens": 3724835.0, + "step": 2050 + }, + { + "entropy": 6.303025627136231, + "epoch": 1.7657928663515254, + "grad_norm": 0.96484375, + "learning_rate": 0.000489171896063085, + "loss": 6.0978, + "mean_token_accuracy": 0.1608540341258049, + "num_tokens": 3733977.0, + "step": 2055 + }, + { + "entropy": 6.440810489654541, + "epoch": 1.77009024495058, + "grad_norm": 1.0859375, + "learning_rate": 0.0004890697608813495, + "loss": 6.2166, + "mean_token_accuracy": 0.14737534075975417, + "num_tokens": 3742665.0, + "step": 2060 + }, + { + "entropy": 6.50860743522644, + "epoch": 1.7743876235496348, + "grad_norm": 1.1171875, + "learning_rate": 0.0004889671582568193, + "loss": 6.2866, + "mean_token_accuracy": 0.15046041160821916, + "num_tokens": 3751647.0, + "step": 2065 + }, + { + "entropy": 6.323904037475586, + "epoch": 1.7786850021486893, + "grad_norm": 1.1640625, + "learning_rate": 0.0004888640884135374, + "loss": 6.1804, + "mean_token_accuracy": 0.14905625879764556, + "num_tokens": 3760852.0, + "step": 2070 + }, + { + "entropy": 6.3692279815673825, + "epoch": 1.7829823807477438, + "grad_norm": 1.2734375, + "learning_rate": 0.0004887605515765671, + "loss": 6.146, + "mean_token_accuracy": 0.1545763321220875, + "num_tokens": 3768640.0, + "step": 2075 + }, + { + "entropy": 6.432651662826538, + "epoch": 1.7872797593467986, + "grad_norm": 1.09375, + "learning_rate": 0.0004886565479719914, + "loss": 6.1701, + "mean_token_accuracy": 0.1504896029829979, + "num_tokens": 3776504.0, + "step": 2080 + }, + { + "entropy": 6.4639040470123295, + "epoch": 1.7915771379458532, + "grad_norm": 1.15625, + "learning_rate": 0.0004885520778269128, + "loss": 6.1968, + "mean_token_accuracy": 0.15468488037586212, + "num_tokens": 3786353.0, + "step": 2085 + }, + { + "entropy": 6.380429744720459, + "epoch": 1.7958745165449077, + "grad_norm": 1.125, + "learning_rate": 0.0004884471413694523, + "loss": 6.2326, + "mean_token_accuracy": 0.14940588921308517, + "num_tokens": 3795902.0, + "step": 2090 + }, + { + "entropy": 6.3466850280761715, + "epoch": 1.8001718951439623, + "grad_norm": 0.9453125, + "learning_rate": 0.0004883417388287491, + "loss": 6.1431, + "mean_token_accuracy": 0.14718958735466003, + "num_tokens": 3805986.0, + "step": 2095 + }, + { + "entropy": 6.3597740650177, + "epoch": 1.8044692737430168, + "grad_norm": 1.1796875, + "learning_rate": 0.0004882358704349603, + "loss": 6.2747, + "mean_token_accuracy": 0.15220490992069244, + "num_tokens": 3814915.0, + "step": 2100 + }, + { + "entropy": 6.366986703872681, + "epoch": 1.8087666523420713, + "grad_norm": 1.1640625, + "learning_rate": 0.0004881295364192601, + "loss": 6.1506, + "mean_token_accuracy": 0.15957469791173934, + "num_tokens": 3823966.0, + "step": 2105 + }, + { + "entropy": 6.475821685791016, + "epoch": 1.813064030941126, + "grad_norm": 1.03125, + "learning_rate": 0.0004880227370138394, + "loss": 6.212, + "mean_token_accuracy": 0.14951324909925462, + "num_tokens": 3832775.0, + "step": 2110 + }, + { + "entropy": 6.301672267913818, + "epoch": 1.8173614095401804, + "grad_norm": 0.93359375, + "learning_rate": 0.0004879154724519057, + "loss": 6.1316, + "mean_token_accuracy": 0.15576981902122497, + "num_tokens": 3842808.0, + "step": 2115 + }, + { + "entropy": 6.454287385940551, + "epoch": 1.821658788139235, + "grad_norm": 1.0703125, + "learning_rate": 0.0004878077429676816, + "loss": 6.2649, + "mean_token_accuracy": 0.14898920953273773, + "num_tokens": 3853303.0, + "step": 2120 + }, + { + "entropy": 6.3901642799377445, + "epoch": 1.8259561667382895, + "grad_norm": 1.0703125, + "learning_rate": 0.0004876995487964054, + "loss": 6.1853, + "mean_token_accuracy": 0.14685731381177902, + "num_tokens": 3862462.0, + "step": 2125 + }, + { + "entropy": 6.411391401290894, + "epoch": 1.830253545337344, + "grad_norm": 1.046875, + "learning_rate": 0.00048759089017432996, + "loss": 6.293, + "mean_token_accuracy": 0.14782755076885223, + "num_tokens": 3871596.0, + "step": 2130 + }, + { + "entropy": 6.432213401794433, + "epoch": 1.8345509239363988, + "grad_norm": 1.0390625, + "learning_rate": 0.0004874817673387222, + "loss": 6.1972, + "mean_token_accuracy": 0.15025533735752106, + "num_tokens": 3881276.0, + "step": 2135 + }, + { + "entropy": 6.357042551040649, + "epoch": 1.8388483025354534, + "grad_norm": 0.984375, + "learning_rate": 0.00048737218052786275, + "loss": 6.2863, + "mean_token_accuracy": 0.14599718973040582, + "num_tokens": 3891610.0, + "step": 2140 + }, + { + "entropy": 6.469332885742188, + "epoch": 1.843145681134508, + "grad_norm": 0.984375, + "learning_rate": 0.00048726212998104554, + "loss": 6.2036, + "mean_token_accuracy": 0.1476315975189209, + "num_tokens": 3900584.0, + "step": 2145 + }, + { + "entropy": 6.3720924854278564, + "epoch": 1.8474430597335625, + "grad_norm": 1.0390625, + "learning_rate": 0.0004871516159385768, + "loss": 6.1288, + "mean_token_accuracy": 0.15351544842123985, + "num_tokens": 3910208.0, + "step": 2150 + }, + { + "entropy": 6.2077491760253904, + "epoch": 1.8517404383326173, + "grad_norm": 1.140625, + "learning_rate": 0.0004870406386417752, + "loss": 6.0609, + "mean_token_accuracy": 0.16224084943532943, + "num_tokens": 3918424.0, + "step": 2155 + }, + { + "entropy": 6.278759956359863, + "epoch": 1.8560378169316718, + "grad_norm": 1.1328125, + "learning_rate": 0.0004869291983329707, + "loss": 5.9946, + "mean_token_accuracy": 0.16720272302627565, + "num_tokens": 3926206.0, + "step": 2160 + }, + { + "entropy": 6.399888753890991, + "epoch": 1.8603351955307263, + "grad_norm": 1.078125, + "learning_rate": 0.0004868172952555044, + "loss": 6.0991, + "mean_token_accuracy": 0.1470145635306835, + "num_tokens": 3935769.0, + "step": 2165 + }, + { + "entropy": 6.315070724487304, + "epoch": 1.864632574129781, + "grad_norm": 0.98046875, + "learning_rate": 0.0004867049296537278, + "loss": 6.0903, + "mean_token_accuracy": 0.15458065569400786, + "num_tokens": 3945118.0, + "step": 2170 + }, + { + "entropy": 6.344206809997559, + "epoch": 1.8689299527288354, + "grad_norm": 1.40625, + "learning_rate": 0.0004865921017730027, + "loss": 6.1791, + "mean_token_accuracy": 0.15464479327201844, + "num_tokens": 3954012.0, + "step": 2175 + }, + { + "entropy": 6.429828739166259, + "epoch": 1.87322733132789, + "grad_norm": 0.96484375, + "learning_rate": 0.00048647881185969995, + "loss": 6.1931, + "mean_token_accuracy": 0.14908381700515747, + "num_tokens": 3964239.0, + "step": 2180 + }, + { + "entropy": 6.33826584815979, + "epoch": 1.8775247099269445, + "grad_norm": 1.0390625, + "learning_rate": 0.0004863650601611994, + "loss": 6.0996, + "mean_token_accuracy": 0.1615213319659233, + "num_tokens": 3973694.0, + "step": 2185 + }, + { + "entropy": 6.327886295318604, + "epoch": 1.881822088525999, + "grad_norm": 1.078125, + "learning_rate": 0.00048625084692588937, + "loss": 6.1415, + "mean_token_accuracy": 0.1605108693242073, + "num_tokens": 3982706.0, + "step": 2190 + }, + { + "entropy": 6.265936231613159, + "epoch": 1.8861194671250536, + "grad_norm": 1.1171875, + "learning_rate": 0.00048613617240316593, + "loss": 6.0825, + "mean_token_accuracy": 0.15816196352243422, + "num_tokens": 3990934.0, + "step": 2195 + }, + { + "entropy": 6.391205978393555, + "epoch": 1.8904168457241082, + "grad_norm": 1.0859375, + "learning_rate": 0.0004860210368434323, + "loss": 6.1513, + "mean_token_accuracy": 0.15758474171161652, + "num_tokens": 3999864.0, + "step": 2200 + }, + { + "entropy": 6.334363603591919, + "epoch": 1.8947142243231627, + "grad_norm": 0.984375, + "learning_rate": 0.00048590544049809857, + "loss": 6.1514, + "mean_token_accuracy": 0.15803639888763427, + "num_tokens": 4008273.0, + "step": 2205 + }, + { + "entropy": 6.388755893707275, + "epoch": 1.8990116029222175, + "grad_norm": 1.03125, + "learning_rate": 0.000485789383619581, + "loss": 6.1719, + "mean_token_accuracy": 0.15583823770284652, + "num_tokens": 4017697.0, + "step": 2210 + }, + { + "entropy": 6.345981502532959, + "epoch": 1.903308981521272, + "grad_norm": 1.140625, + "learning_rate": 0.0004856728664613015, + "loss": 6.1881, + "mean_token_accuracy": 0.14975374042987824, + "num_tokens": 4026775.0, + "step": 2215 + }, + { + "entropy": 6.3457728862762455, + "epoch": 1.9076063601203266, + "grad_norm": 1.0859375, + "learning_rate": 0.00048555588927768674, + "loss": 6.1523, + "mean_token_accuracy": 0.15700841099023818, + "num_tokens": 4036476.0, + "step": 2220 + }, + { + "entropy": 6.4198205947875975, + "epoch": 1.9119037387193811, + "grad_norm": 1.1328125, + "learning_rate": 0.0004854384523241683, + "loss": 6.1336, + "mean_token_accuracy": 0.1571663163602352, + "num_tokens": 4045221.0, + "step": 2225 + }, + { + "entropy": 6.218144416809082, + "epoch": 1.916201117318436, + "grad_norm": 1.0390625, + "learning_rate": 0.00048532055585718143, + "loss": 6.0619, + "mean_token_accuracy": 0.15748531818389894, + "num_tokens": 4053754.0, + "step": 2230 + }, + { + "entropy": 6.358814668655396, + "epoch": 1.9204984959174904, + "grad_norm": 1.1015625, + "learning_rate": 0.00048520220013416505, + "loss": 6.103, + "mean_token_accuracy": 0.1605447456240654, + "num_tokens": 4061730.0, + "step": 2235 + }, + { + "entropy": 6.3438163757324215, + "epoch": 1.924795874516545, + "grad_norm": 1.0390625, + "learning_rate": 0.0004850833854135607, + "loss": 6.1491, + "mean_token_accuracy": 0.15683530494570733, + "num_tokens": 4070501.0, + "step": 2240 + }, + { + "entropy": 6.367244625091553, + "epoch": 1.9290932531155995, + "grad_norm": 0.95703125, + "learning_rate": 0.0004849641119548122, + "loss": 6.2334, + "mean_token_accuracy": 0.14961420446634294, + "num_tokens": 4079621.0, + "step": 2245 + }, + { + "entropy": 6.398000574111938, + "epoch": 1.933390631714654, + "grad_norm": 1.09375, + "learning_rate": 0.000484844380018365, + "loss": 6.2167, + "mean_token_accuracy": 0.15164064317941667, + "num_tokens": 4090106.0, + "step": 2250 + }, + { + "entropy": 6.375770425796508, + "epoch": 1.9376880103137086, + "grad_norm": 1.03125, + "learning_rate": 0.000484724189865666, + "loss": 6.1578, + "mean_token_accuracy": 0.15246021896600723, + "num_tokens": 4099269.0, + "step": 2255 + }, + { + "entropy": 6.217796373367309, + "epoch": 1.9419853889127632, + "grad_norm": 1.0625, + "learning_rate": 0.0004846035417591624, + "loss": 6.0917, + "mean_token_accuracy": 0.15897612571716307, + "num_tokens": 4108414.0, + "step": 2260 + }, + { + "entropy": 6.376744508743286, + "epoch": 1.9462827675118177, + "grad_norm": 1.109375, + "learning_rate": 0.0004844824359623014, + "loss": 6.2234, + "mean_token_accuracy": 0.14845603406429292, + "num_tokens": 4117731.0, + "step": 2265 + }, + { + "entropy": 6.413218784332275, + "epoch": 1.9505801461108723, + "grad_norm": 1.109375, + "learning_rate": 0.00048436087273952966, + "loss": 6.2001, + "mean_token_accuracy": 0.14851808845996856, + "num_tokens": 4127194.0, + "step": 2270 + }, + { + "entropy": 6.277564620971679, + "epoch": 1.9548775247099268, + "grad_norm": 1.1171875, + "learning_rate": 0.00048423885235629265, + "loss": 6.1488, + "mean_token_accuracy": 0.15824481397867202, + "num_tokens": 4135594.0, + "step": 2275 + }, + { + "entropy": 6.359572219848633, + "epoch": 1.9591749033089814, + "grad_norm": 1.0234375, + "learning_rate": 0.0004841163750790342, + "loss": 6.1804, + "mean_token_accuracy": 0.15617654621601104, + "num_tokens": 4145027.0, + "step": 2280 + }, + { + "entropy": 6.301140403747558, + "epoch": 1.9634722819080361, + "grad_norm": 1.015625, + "learning_rate": 0.00048399344117519555, + "loss": 6.0431, + "mean_token_accuracy": 0.15682056695222854, + "num_tokens": 4153754.0, + "step": 2285 + }, + { + "entropy": 6.266417598724365, + "epoch": 1.9677696605070907, + "grad_norm": 0.96875, + "learning_rate": 0.00048387005091321544, + "loss": 6.1066, + "mean_token_accuracy": 0.16042741984128953, + "num_tokens": 4162765.0, + "step": 2290 + }, + { + "entropy": 6.3823741436004635, + "epoch": 1.9720670391061452, + "grad_norm": 1.1328125, + "learning_rate": 0.00048374620456252877, + "loss": 6.1293, + "mean_token_accuracy": 0.15764901116490365, + "num_tokens": 4171589.0, + "step": 2295 + }, + { + "entropy": 6.2937760829925535, + "epoch": 1.9763644177052, + "grad_norm": 1.0625, + "learning_rate": 0.00048362190239356644, + "loss": 6.1393, + "mean_token_accuracy": 0.15565742254257203, + "num_tokens": 4181817.0, + "step": 2300 + }, + { + "entropy": 6.305324840545654, + "epoch": 1.9806617963042545, + "grad_norm": 0.9609375, + "learning_rate": 0.00048349714467775474, + "loss": 6.0995, + "mean_token_accuracy": 0.14838732779026031, + "num_tokens": 4191350.0, + "step": 2305 + }, + { + "entropy": 6.278328514099121, + "epoch": 1.984959174903309, + "grad_norm": 1.0625, + "learning_rate": 0.00048337193168751464, + "loss": 6.1486, + "mean_token_accuracy": 0.15034544318914414, + "num_tokens": 4199888.0, + "step": 2310 + }, + { + "entropy": 6.390921354293823, + "epoch": 1.9892565535023636, + "grad_norm": 1.171875, + "learning_rate": 0.0004832462636962613, + "loss": 6.1298, + "mean_token_accuracy": 0.1492708593606949, + "num_tokens": 4209509.0, + "step": 2315 + }, + { + "entropy": 6.316125965118408, + "epoch": 1.9935539321014182, + "grad_norm": 1.140625, + "learning_rate": 0.0004831201409784034, + "loss": 6.072, + "mean_token_accuracy": 0.1605883792042732, + "num_tokens": 4218496.0, + "step": 2320 + }, + { + "entropy": 6.255798053741455, + "epoch": 1.9978513107004727, + "grad_norm": 1.0078125, + "learning_rate": 0.0004829935638093424, + "loss": 6.1087, + "mean_token_accuracy": 0.15721286535263063, + "num_tokens": 4227504.0, + "step": 2325 + }, + { + "entropy": 6.355179150899251, + "epoch": 2.0017189514396216, + "grad_norm": 1.078125, + "learning_rate": 0.0004828665324654724, + "loss": 6.0277, + "mean_token_accuracy": 0.15705766446060604, + "num_tokens": 4235338.0, + "step": 2330 + }, + { + "entropy": 6.347105932235718, + "epoch": 2.006016330038676, + "grad_norm": 0.98828125, + "learning_rate": 0.0004827390472241791, + "loss": 5.7915, + "mean_token_accuracy": 0.16444853693246841, + "num_tokens": 4244905.0, + "step": 2335 + }, + { + "entropy": 6.278535604476929, + "epoch": 2.010313708637731, + "grad_norm": 0.95703125, + "learning_rate": 0.0004826111083638392, + "loss": 5.8696, + "mean_token_accuracy": 0.16559881940484047, + "num_tokens": 4254533.0, + "step": 2340 + }, + { + "entropy": 6.316350841522217, + "epoch": 2.0146110872367857, + "grad_norm": 0.984375, + "learning_rate": 0.00048248271616382, + "loss": 5.8463, + "mean_token_accuracy": 0.16606585830450057, + "num_tokens": 4264023.0, + "step": 2345 + }, + { + "entropy": 6.242398643493653, + "epoch": 2.0189084658358403, + "grad_norm": 1.046875, + "learning_rate": 0.00048235387090447894, + "loss": 5.876, + "mean_token_accuracy": 0.16416406631469727, + "num_tokens": 4273298.0, + "step": 2350 + }, + { + "entropy": 6.315939903259277, + "epoch": 2.023205844434895, + "grad_norm": 1.078125, + "learning_rate": 0.00048222457286716235, + "loss": 5.8197, + "mean_token_accuracy": 0.16837385147809983, + "num_tokens": 4283244.0, + "step": 2355 + }, + { + "entropy": 6.246707153320313, + "epoch": 2.0275032230339494, + "grad_norm": 1.1796875, + "learning_rate": 0.00048209482233420564, + "loss": 5.7698, + "mean_token_accuracy": 0.17663903087377547, + "num_tokens": 4291677.0, + "step": 2360 + }, + { + "entropy": 6.277777862548828, + "epoch": 2.031800601633004, + "grad_norm": 1.0625, + "learning_rate": 0.000481964619588932, + "loss": 5.8196, + "mean_token_accuracy": 0.170748533308506, + "num_tokens": 4300822.0, + "step": 2365 + }, + { + "entropy": 6.263119220733643, + "epoch": 2.0360979802320585, + "grad_norm": 1.0625, + "learning_rate": 0.0004818339649156523, + "loss": 5.8415, + "mean_token_accuracy": 0.17079205960035324, + "num_tokens": 4310149.0, + "step": 2370 + }, + { + "entropy": 6.12338604927063, + "epoch": 2.040395358831113, + "grad_norm": 1.03125, + "learning_rate": 0.00048170285859966395, + "loss": 5.7423, + "mean_token_accuracy": 0.17794516831636428, + "num_tokens": 4319109.0, + "step": 2375 + }, + { + "entropy": 6.281350469589233, + "epoch": 2.0446927374301676, + "grad_norm": 0.99609375, + "learning_rate": 0.00048157130092725087, + "loss": 5.7302, + "mean_token_accuracy": 0.17352935224771499, + "num_tokens": 4327921.0, + "step": 2380 + }, + { + "entropy": 6.251600027084351, + "epoch": 2.048990116029222, + "grad_norm": 1.046875, + "learning_rate": 0.0004814392921856824, + "loss": 5.8821, + "mean_token_accuracy": 0.17077834606170655, + "num_tokens": 4338026.0, + "step": 2385 + }, + { + "entropy": 6.208239459991455, + "epoch": 2.0532874946282766, + "grad_norm": 0.984375, + "learning_rate": 0.0004813068326632128, + "loss": 5.7272, + "mean_token_accuracy": 0.17698098421096803, + "num_tokens": 4347794.0, + "step": 2390 + }, + { + "entropy": 6.288045644760132, + "epoch": 2.057584873227331, + "grad_norm": 1.078125, + "learning_rate": 0.0004811739226490809, + "loss": 5.917, + "mean_token_accuracy": 0.16798364371061325, + "num_tokens": 4357249.0, + "step": 2395 + }, + { + "entropy": 6.22069525718689, + "epoch": 2.0618822518263857, + "grad_norm": 1.0546875, + "learning_rate": 0.00048104056243350896, + "loss": 5.8434, + "mean_token_accuracy": 0.16641683727502823, + "num_tokens": 4366053.0, + "step": 2400 + }, + { + "entropy": 6.237291955947876, + "epoch": 2.0661796304254403, + "grad_norm": 1.0234375, + "learning_rate": 0.0004809067523077023, + "loss": 5.8614, + "mean_token_accuracy": 0.1700182244181633, + "num_tokens": 4375543.0, + "step": 2405 + }, + { + "entropy": 6.230785751342774, + "epoch": 2.0704770090244953, + "grad_norm": 1.1015625, + "learning_rate": 0.00048077249256384884, + "loss": 5.7564, + "mean_token_accuracy": 0.17438603639602662, + "num_tokens": 4384332.0, + "step": 2410 + }, + { + "entropy": 6.19397988319397, + "epoch": 2.07477438762355, + "grad_norm": 1.2109375, + "learning_rate": 0.0004806377834951182, + "loss": 5.8466, + "mean_token_accuracy": 0.1659790098667145, + "num_tokens": 4393670.0, + "step": 2415 + }, + { + "entropy": 6.280642461776734, + "epoch": 2.0790717662226044, + "grad_norm": 1.125, + "learning_rate": 0.00048050262539566104, + "loss": 5.8543, + "mean_token_accuracy": 0.17281297594308853, + "num_tokens": 4402763.0, + "step": 2420 + }, + { + "entropy": 6.234371662139893, + "epoch": 2.083369144821659, + "grad_norm": 1.0234375, + "learning_rate": 0.0004803670185606087, + "loss": 5.766, + "mean_token_accuracy": 0.17708782404661177, + "num_tokens": 4411863.0, + "step": 2425 + }, + { + "entropy": 6.2064672946929935, + "epoch": 2.0876665234207135, + "grad_norm": 1.078125, + "learning_rate": 0.0004802309632860724, + "loss": 5.8476, + "mean_token_accuracy": 0.17201682031154633, + "num_tokens": 4421110.0, + "step": 2430 + }, + { + "entropy": 6.299275922775268, + "epoch": 2.091963902019768, + "grad_norm": 1.0625, + "learning_rate": 0.00048009445986914236, + "loss": 5.8416, + "mean_token_accuracy": 0.165672005712986, + "num_tokens": 4430249.0, + "step": 2435 + }, + { + "entropy": 6.197122812271118, + "epoch": 2.0962612806188226, + "grad_norm": 1.0703125, + "learning_rate": 0.00047995750860788756, + "loss": 5.8269, + "mean_token_accuracy": 0.16112401485443115, + "num_tokens": 4439686.0, + "step": 2440 + }, + { + "entropy": 6.239287519454956, + "epoch": 2.100558659217877, + "grad_norm": 1.1875, + "learning_rate": 0.0004798201098013547, + "loss": 5.8073, + "mean_token_accuracy": 0.17286145985126494, + "num_tokens": 4448645.0, + "step": 2445 + }, + { + "entropy": 6.17987093925476, + "epoch": 2.1048560378169316, + "grad_norm": 1.0078125, + "learning_rate": 0.00047968226374956797, + "loss": 5.785, + "mean_token_accuracy": 0.1676485523581505, + "num_tokens": 4456870.0, + "step": 2450 + }, + { + "entropy": 6.148839092254638, + "epoch": 2.109153416415986, + "grad_norm": 1.0390625, + "learning_rate": 0.00047954397075352794, + "loss": 5.804, + "mean_token_accuracy": 0.1790194794535637, + "num_tokens": 4466287.0, + "step": 2455 + }, + { + "entropy": 6.161268472671509, + "epoch": 2.1134507950150407, + "grad_norm": 1.09375, + "learning_rate": 0.00047940523111521136, + "loss": 5.7069, + "mean_token_accuracy": 0.17733812779188157, + "num_tokens": 4474461.0, + "step": 2460 + }, + { + "entropy": 6.201317834854126, + "epoch": 2.1177481736140953, + "grad_norm": 1.21875, + "learning_rate": 0.0004792660451375701, + "loss": 5.7722, + "mean_token_accuracy": 0.17279447317123414, + "num_tokens": 4483002.0, + "step": 2465 + }, + { + "entropy": 6.191226196289063, + "epoch": 2.12204555221315, + "grad_norm": 1.109375, + "learning_rate": 0.00047912641312453064, + "loss": 5.7874, + "mean_token_accuracy": 0.1739989399909973, + "num_tokens": 4492061.0, + "step": 2470 + }, + { + "entropy": 6.240914964675904, + "epoch": 2.1263429308122044, + "grad_norm": 0.96484375, + "learning_rate": 0.00047898633538099363, + "loss": 5.8403, + "mean_token_accuracy": 0.16375242471694945, + "num_tokens": 4501829.0, + "step": 2475 + }, + { + "entropy": 6.218794155120849, + "epoch": 2.130640309411259, + "grad_norm": 1.015625, + "learning_rate": 0.0004788458122128327, + "loss": 5.8683, + "mean_token_accuracy": 0.16395576894283295, + "num_tokens": 4511539.0, + "step": 2480 + }, + { + "entropy": 6.197416687011719, + "epoch": 2.134937688010314, + "grad_norm": 1.09375, + "learning_rate": 0.00047870484392689434, + "loss": 5.7256, + "mean_token_accuracy": 0.1732256680727005, + "num_tokens": 4520425.0, + "step": 2485 + }, + { + "entropy": 6.153204393386841, + "epoch": 2.1392350666093685, + "grad_norm": 1.0859375, + "learning_rate": 0.000478563430830997, + "loss": 5.8237, + "mean_token_accuracy": 0.1660924568772316, + "num_tokens": 4529474.0, + "step": 2490 + }, + { + "entropy": 6.238351488113404, + "epoch": 2.143532445208423, + "grad_norm": 1.0859375, + "learning_rate": 0.00047842157323393035, + "loss": 5.7621, + "mean_token_accuracy": 0.17213856130838395, + "num_tokens": 4538082.0, + "step": 2495 + }, + { + "entropy": 6.185346221923828, + "epoch": 2.1478298238074776, + "grad_norm": 1.046875, + "learning_rate": 0.0004782792714454547, + "loss": 5.9584, + "mean_token_accuracy": 0.1624767854809761, + "num_tokens": 4547340.0, + "step": 2500 + }, + { + "epoch": 2.1478298238074776, + "eval_entropy": 5.975759233440365, + "eval_loss": 6.17199182510376, + "eval_mean_token_accuracy": 0.15897784858673542, + "eval_num_tokens": 4547340.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.228, + "eval_steps_per_second": 216.837, + "step": 2500 + }, + { + "entropy": 6.180462265014649, + "epoch": 2.152127202406532, + "grad_norm": 1.15625, + "learning_rate": 0.0004781365257763002, + "loss": 5.787, + "mean_token_accuracy": 0.17266686409711837, + "num_tokens": 4556415.0, + "step": 2505 + }, + { + "entropy": 6.12634973526001, + "epoch": 2.1564245810055866, + "grad_norm": 1.359375, + "learning_rate": 0.00047799333653816633, + "loss": 5.6887, + "mean_token_accuracy": 0.18215310871601104, + "num_tokens": 4565156.0, + "step": 2510 + }, + { + "entropy": 6.176189327239991, + "epoch": 2.160721959604641, + "grad_norm": 1.0, + "learning_rate": 0.00047784970404372124, + "loss": 5.7844, + "mean_token_accuracy": 0.1708789974451065, + "num_tokens": 4574678.0, + "step": 2515 + }, + { + "entropy": 6.102172183990478, + "epoch": 2.1650193382036957, + "grad_norm": 1.1328125, + "learning_rate": 0.00047770562860660083, + "loss": 5.811, + "mean_token_accuracy": 0.16656892001628876, + "num_tokens": 4583253.0, + "step": 2520 + }, + { + "entropy": 6.217717409133911, + "epoch": 2.1693167168027503, + "grad_norm": 0.9609375, + "learning_rate": 0.0004775611105414083, + "loss": 5.88, + "mean_token_accuracy": 0.16319236159324646, + "num_tokens": 4594042.0, + "step": 2525 + }, + { + "entropy": 6.179096984863281, + "epoch": 2.173614095401805, + "grad_norm": 0.99609375, + "learning_rate": 0.0004774161501637133, + "loss": 5.8208, + "mean_token_accuracy": 0.16849268227815628, + "num_tokens": 4603128.0, + "step": 2530 + }, + { + "entropy": 6.120770788192749, + "epoch": 2.1779114740008594, + "grad_norm": 1.25, + "learning_rate": 0.0004772707477900514, + "loss": 5.805, + "mean_token_accuracy": 0.17015553265810013, + "num_tokens": 4611537.0, + "step": 2535 + }, + { + "entropy": 6.254914093017578, + "epoch": 2.182208852599914, + "grad_norm": 1.1171875, + "learning_rate": 0.0004771249037379232, + "loss": 5.8984, + "mean_token_accuracy": 0.16680168211460114, + "num_tokens": 4622481.0, + "step": 2540 + }, + { + "entropy": 6.1392961025238035, + "epoch": 2.1865062311989685, + "grad_norm": 1.109375, + "learning_rate": 0.0004769786183257939, + "loss": 5.7985, + "mean_token_accuracy": 0.17476972788572312, + "num_tokens": 4631259.0, + "step": 2545 + }, + { + "entropy": 6.153097438812256, + "epoch": 2.190803609798023, + "grad_norm": 1.1484375, + "learning_rate": 0.0004768318918730924, + "loss": 5.7586, + "mean_token_accuracy": 0.17578112632036208, + "num_tokens": 4640266.0, + "step": 2550 + }, + { + "entropy": 6.1481832504272464, + "epoch": 2.195100988397078, + "grad_norm": 1.0625, + "learning_rate": 0.00047668472470021044, + "loss": 5.8113, + "mean_token_accuracy": 0.16784311085939407, + "num_tokens": 4649520.0, + "step": 2555 + }, + { + "entropy": 6.236191320419311, + "epoch": 2.1993983669961326, + "grad_norm": 1.0625, + "learning_rate": 0.0004765371171285025, + "loss": 5.7573, + "mean_token_accuracy": 0.17908186167478563, + "num_tokens": 4658501.0, + "step": 2560 + }, + { + "entropy": 6.072221088409424, + "epoch": 2.203695745595187, + "grad_norm": 1.078125, + "learning_rate": 0.00047638906948028445, + "loss": 5.8192, + "mean_token_accuracy": 0.16885218769311905, + "num_tokens": 4667567.0, + "step": 2565 + }, + { + "entropy": 6.158999061584472, + "epoch": 2.2079931241942417, + "grad_norm": 1.1640625, + "learning_rate": 0.00047624058207883317, + "loss": 5.8154, + "mean_token_accuracy": 0.16924346387386321, + "num_tokens": 4676618.0, + "step": 2570 + }, + { + "entropy": 6.275905895233154, + "epoch": 2.212290502793296, + "grad_norm": 1.03125, + "learning_rate": 0.00047609165524838576, + "loss": 5.8748, + "mean_token_accuracy": 0.16927455067634584, + "num_tokens": 4685967.0, + "step": 2575 + }, + { + "entropy": 6.100191926956176, + "epoch": 2.2165878813923507, + "grad_norm": 1.265625, + "learning_rate": 0.0004759422893141389, + "loss": 5.766, + "mean_token_accuracy": 0.17206043750047684, + "num_tokens": 4694568.0, + "step": 2580 + }, + { + "entropy": 6.1515192031860355, + "epoch": 2.2208852599914053, + "grad_norm": 1.09375, + "learning_rate": 0.0004757924846022482, + "loss": 5.826, + "mean_token_accuracy": 0.17090158760547638, + "num_tokens": 4703648.0, + "step": 2585 + }, + { + "entropy": 6.158021259307861, + "epoch": 2.22518263859046, + "grad_norm": 1.1796875, + "learning_rate": 0.00047564224143982714, + "loss": 5.6863, + "mean_token_accuracy": 0.1804699569940567, + "num_tokens": 4712444.0, + "step": 2590 + }, + { + "entropy": 6.184865522384643, + "epoch": 2.2294800171895144, + "grad_norm": 1.171875, + "learning_rate": 0.00047549156015494676, + "loss": 5.8404, + "mean_token_accuracy": 0.1678527906537056, + "num_tokens": 4722034.0, + "step": 2595 + }, + { + "entropy": 6.146687793731689, + "epoch": 2.233777395788569, + "grad_norm": 1.1484375, + "learning_rate": 0.00047534044107663484, + "loss": 5.8616, + "mean_token_accuracy": 0.1660257250070572, + "num_tokens": 4731344.0, + "step": 2600 + }, + { + "entropy": 6.193604421615601, + "epoch": 2.2380747743876235, + "grad_norm": 1.1796875, + "learning_rate": 0.00047518888453487496, + "loss": 5.7742, + "mean_token_accuracy": 0.18199435770511627, + "num_tokens": 4739302.0, + "step": 2605 + }, + { + "entropy": 6.141710472106934, + "epoch": 2.242372152986678, + "grad_norm": 0.99609375, + "learning_rate": 0.0004750368908606061, + "loss": 5.8788, + "mean_token_accuracy": 0.16633899062871932, + "num_tokens": 4748848.0, + "step": 2610 + }, + { + "entropy": 6.243501758575439, + "epoch": 2.2466695315857326, + "grad_norm": 1.015625, + "learning_rate": 0.00047488446038572164, + "loss": 5.9385, + "mean_token_accuracy": 0.16254912167787552, + "num_tokens": 4758194.0, + "step": 2615 + }, + { + "entropy": 6.16309700012207, + "epoch": 2.250966910184787, + "grad_norm": 1.1640625, + "learning_rate": 0.0004747315934430688, + "loss": 5.8537, + "mean_token_accuracy": 0.16617514342069625, + "num_tokens": 4768081.0, + "step": 2620 + }, + { + "entropy": 6.1246990203857425, + "epoch": 2.2552642887838417, + "grad_norm": 1.1328125, + "learning_rate": 0.000474578290366448, + "loss": 5.7741, + "mean_token_accuracy": 0.1719846934080124, + "num_tokens": 4776471.0, + "step": 2625 + }, + { + "entropy": 6.14447546005249, + "epoch": 2.259561667382896, + "grad_norm": 1.1328125, + "learning_rate": 0.0004744245514906117, + "loss": 5.7832, + "mean_token_accuracy": 0.17195819914340973, + "num_tokens": 4784403.0, + "step": 2630 + }, + { + "entropy": 6.066154432296753, + "epoch": 2.263859045981951, + "grad_norm": 1.125, + "learning_rate": 0.00047427037715126426, + "loss": 5.7561, + "mean_token_accuracy": 0.17391669005155563, + "num_tokens": 4792779.0, + "step": 2635 + }, + { + "entropy": 6.112756013870239, + "epoch": 2.2681564245810057, + "grad_norm": 1.0390625, + "learning_rate": 0.0004741157676850608, + "loss": 5.7404, + "mean_token_accuracy": 0.17708691954612732, + "num_tokens": 4801426.0, + "step": 2640 + }, + { + "entropy": 6.151607942581177, + "epoch": 2.2724538031800603, + "grad_norm": 1.2890625, + "learning_rate": 0.00047396072342960663, + "loss": 5.7871, + "mean_token_accuracy": 0.16531864404678345, + "num_tokens": 4810329.0, + "step": 2645 + }, + { + "entropy": 6.167152023315429, + "epoch": 2.276751181779115, + "grad_norm": 1.0546875, + "learning_rate": 0.00047380524472345645, + "loss": 5.8465, + "mean_token_accuracy": 0.1671397715806961, + "num_tokens": 4819544.0, + "step": 2650 + }, + { + "entropy": 6.143870735168457, + "epoch": 2.2810485603781694, + "grad_norm": 1.1171875, + "learning_rate": 0.0004736493319061134, + "loss": 5.8444, + "mean_token_accuracy": 0.16567971110343932, + "num_tokens": 4828113.0, + "step": 2655 + }, + { + "entropy": 6.107415771484375, + "epoch": 2.285345938977224, + "grad_norm": 1.0, + "learning_rate": 0.0004734929853180291, + "loss": 5.8272, + "mean_token_accuracy": 0.1672320321202278, + "num_tokens": 4836989.0, + "step": 2660 + }, + { + "entropy": 6.207330274581909, + "epoch": 2.2896433175762785, + "grad_norm": 0.96875, + "learning_rate": 0.00047333620530060175, + "loss": 5.8623, + "mean_token_accuracy": 0.16721852421760558, + "num_tokens": 4847103.0, + "step": 2665 + }, + { + "entropy": 6.162304496765136, + "epoch": 2.293940696175333, + "grad_norm": 1.125, + "learning_rate": 0.0004731789921961764, + "loss": 5.8736, + "mean_token_accuracy": 0.17004917562007904, + "num_tokens": 4856238.0, + "step": 2670 + }, + { + "entropy": 6.193357849121094, + "epoch": 2.2982380747743876, + "grad_norm": 1.1484375, + "learning_rate": 0.0004730213463480434, + "loss": 5.7792, + "mean_token_accuracy": 0.17748985737562178, + "num_tokens": 4864608.0, + "step": 2675 + }, + { + "entropy": 6.143442440032959, + "epoch": 2.302535453373442, + "grad_norm": 1.0546875, + "learning_rate": 0.00047286326810043857, + "loss": 5.7374, + "mean_token_accuracy": 0.17498592138290406, + "num_tokens": 4873889.0, + "step": 2680 + }, + { + "entropy": 6.103658771514892, + "epoch": 2.3068328319724967, + "grad_norm": 1.15625, + "learning_rate": 0.00047270475779854137, + "loss": 5.7804, + "mean_token_accuracy": 0.1758432075381279, + "num_tokens": 4882902.0, + "step": 2685 + }, + { + "entropy": 6.238151502609253, + "epoch": 2.311130210571551, + "grad_norm": 1.125, + "learning_rate": 0.00047254581578847507, + "loss": 5.7985, + "mean_token_accuracy": 0.16956950426101686, + "num_tokens": 4892390.0, + "step": 2690 + }, + { + "entropy": 6.069392299652099, + "epoch": 2.3154275891706058, + "grad_norm": 1.109375, + "learning_rate": 0.0004723864424173055, + "loss": 5.9313, + "mean_token_accuracy": 0.16988434195518493, + "num_tokens": 4901625.0, + "step": 2695 + }, + { + "entropy": 6.1605274200439455, + "epoch": 2.3197249677696608, + "grad_norm": 1.078125, + "learning_rate": 0.0004722266380330403, + "loss": 5.7187, + "mean_token_accuracy": 0.18315426409244537, + "num_tokens": 4910804.0, + "step": 2700 + }, + { + "entropy": 6.102558517456055, + "epoch": 2.3240223463687153, + "grad_norm": 1.1015625, + "learning_rate": 0.00047206640298462857, + "loss": 5.8022, + "mean_token_accuracy": 0.1743517056107521, + "num_tokens": 4920441.0, + "step": 2705 + }, + { + "entropy": 6.1133277893066404, + "epoch": 2.32831972496777, + "grad_norm": 1.1171875, + "learning_rate": 0.00047190573762195945, + "loss": 5.8433, + "mean_token_accuracy": 0.17087312042713165, + "num_tokens": 4930204.0, + "step": 2710 + }, + { + "entropy": 6.14404034614563, + "epoch": 2.3326171035668244, + "grad_norm": 0.94140625, + "learning_rate": 0.00047174464229586186, + "loss": 5.9433, + "mean_token_accuracy": 0.16308000683784485, + "num_tokens": 4941191.0, + "step": 2715 + }, + { + "entropy": 6.279735326766968, + "epoch": 2.336914482165879, + "grad_norm": 1.265625, + "learning_rate": 0.0004715831173581036, + "loss": 5.9209, + "mean_token_accuracy": 0.16662475615739822, + "num_tokens": 4951825.0, + "step": 2720 + }, + { + "entropy": 6.089169502258301, + "epoch": 2.3412118607649335, + "grad_norm": 0.96484375, + "learning_rate": 0.00047142116316139073, + "loss": 5.8464, + "mean_token_accuracy": 0.1715902417898178, + "num_tokens": 4960632.0, + "step": 2725 + }, + { + "entropy": 6.170309162139892, + "epoch": 2.345509239363988, + "grad_norm": 0.9765625, + "learning_rate": 0.0004712587800593663, + "loss": 5.8798, + "mean_token_accuracy": 0.16993365585803985, + "num_tokens": 4969455.0, + "step": 2730 + }, + { + "entropy": 6.12351393699646, + "epoch": 2.3498066179630426, + "grad_norm": 1.2890625, + "learning_rate": 0.0004710959684066102, + "loss": 5.7859, + "mean_token_accuracy": 0.1763747364282608, + "num_tokens": 4978997.0, + "step": 2735 + }, + { + "entropy": 6.158613014221191, + "epoch": 2.354103996562097, + "grad_norm": 1.0546875, + "learning_rate": 0.00047093272855863803, + "loss": 5.8433, + "mean_token_accuracy": 0.17122582197189332, + "num_tokens": 4988305.0, + "step": 2740 + }, + { + "entropy": 6.098289728164673, + "epoch": 2.3584013751611517, + "grad_norm": 1.0546875, + "learning_rate": 0.0004707690608719003, + "loss": 5.7826, + "mean_token_accuracy": 0.1741472825407982, + "num_tokens": 4997022.0, + "step": 2745 + }, + { + "entropy": 6.148240280151367, + "epoch": 2.362698753760206, + "grad_norm": 1.1484375, + "learning_rate": 0.0004706049657037818, + "loss": 5.8468, + "mean_token_accuracy": 0.1676038146018982, + "num_tokens": 5005664.0, + "step": 2750 + }, + { + "entropy": 6.128693151473999, + "epoch": 2.3669961323592608, + "grad_norm": 1.03125, + "learning_rate": 0.0004704404434126009, + "loss": 5.7993, + "mean_token_accuracy": 0.1630128264427185, + "num_tokens": 5014769.0, + "step": 2755 + }, + { + "entropy": 6.173029994964599, + "epoch": 2.3712935109583153, + "grad_norm": 1.015625, + "learning_rate": 0.00047027549435760843, + "loss": 5.869, + "mean_token_accuracy": 0.16782066822052003, + "num_tokens": 5024060.0, + "step": 2760 + }, + { + "entropy": 6.2035542011260985, + "epoch": 2.37559088955737, + "grad_norm": 1.140625, + "learning_rate": 0.0004701101188989872, + "loss": 5.9029, + "mean_token_accuracy": 0.16563379466533662, + "num_tokens": 5033046.0, + "step": 2765 + }, + { + "entropy": 6.131078624725342, + "epoch": 2.3798882681564244, + "grad_norm": 1.2421875, + "learning_rate": 0.00046994431739785114, + "loss": 5.7511, + "mean_token_accuracy": 0.18578273057937622, + "num_tokens": 5040894.0, + "step": 2770 + }, + { + "entropy": 6.131838798522949, + "epoch": 2.384185646755479, + "grad_norm": 1.046875, + "learning_rate": 0.00046977809021624454, + "loss": 5.9175, + "mean_token_accuracy": 0.16830566823482512, + "num_tokens": 5050961.0, + "step": 2775 + }, + { + "entropy": 6.217153167724609, + "epoch": 2.3884830253545335, + "grad_norm": 1.140625, + "learning_rate": 0.0004696114377171409, + "loss": 5.8447, + "mean_token_accuracy": 0.166962693631649, + "num_tokens": 5060226.0, + "step": 2780 + }, + { + "entropy": 6.121598243713379, + "epoch": 2.3927804039535885, + "grad_norm": 1.1015625, + "learning_rate": 0.0004694443602644429, + "loss": 5.8063, + "mean_token_accuracy": 0.16657978445291519, + "num_tokens": 5069225.0, + "step": 2785 + }, + { + "entropy": 6.101100969314575, + "epoch": 2.397077782552643, + "grad_norm": 1.0703125, + "learning_rate": 0.0004692768582229808, + "loss": 5.7858, + "mean_token_accuracy": 0.17338948845863342, + "num_tokens": 5078386.0, + "step": 2790 + }, + { + "entropy": 6.113597059249878, + "epoch": 2.4013751611516976, + "grad_norm": 0.98046875, + "learning_rate": 0.00046910893195851213, + "loss": 5.7198, + "mean_token_accuracy": 0.1726340189576149, + "num_tokens": 5087161.0, + "step": 2795 + }, + { + "entropy": 6.0919578075408936, + "epoch": 2.405672539750752, + "grad_norm": 1.0546875, + "learning_rate": 0.00046894058183772074, + "loss": 5.892, + "mean_token_accuracy": 0.16800693273544312, + "num_tokens": 5096613.0, + "step": 2800 + }, + { + "entropy": 6.136939573287964, + "epoch": 2.4099699183498067, + "grad_norm": 1.1484375, + "learning_rate": 0.000468771808228216, + "loss": 5.8324, + "mean_token_accuracy": 0.16829856783151625, + "num_tokens": 5106534.0, + "step": 2805 + }, + { + "entropy": 6.107866430282593, + "epoch": 2.414267296948861, + "grad_norm": 1.1171875, + "learning_rate": 0.00046860261149853197, + "loss": 5.8647, + "mean_token_accuracy": 0.16899872124195098, + "num_tokens": 5115975.0, + "step": 2810 + }, + { + "entropy": 6.077492666244507, + "epoch": 2.4185646755479158, + "grad_norm": 1.1640625, + "learning_rate": 0.0004684329920181268, + "loss": 5.751, + "mean_token_accuracy": 0.1743526503443718, + "num_tokens": 5124635.0, + "step": 2815 + }, + { + "entropy": 6.131529140472412, + "epoch": 2.4228620541469703, + "grad_norm": 1.1875, + "learning_rate": 0.00046826295015738154, + "loss": 5.7277, + "mean_token_accuracy": 0.18355693519115449, + "num_tokens": 5133226.0, + "step": 2820 + }, + { + "entropy": 6.0389073371887205, + "epoch": 2.427159432746025, + "grad_norm": 1.0390625, + "learning_rate": 0.0004680924862875996, + "loss": 5.8249, + "mean_token_accuracy": 0.17242621779441833, + "num_tokens": 5142257.0, + "step": 2825 + }, + { + "entropy": 6.1347551345825195, + "epoch": 2.4314568113450794, + "grad_norm": 1.015625, + "learning_rate": 0.00046792160078100605, + "loss": 5.803, + "mean_token_accuracy": 0.1744050070643425, + "num_tokens": 5150752.0, + "step": 2830 + }, + { + "entropy": 6.121770191192627, + "epoch": 2.435754189944134, + "grad_norm": 1.0546875, + "learning_rate": 0.00046775029401074653, + "loss": 5.7301, + "mean_token_accuracy": 0.18050158619880677, + "num_tokens": 5160237.0, + "step": 2835 + }, + { + "entropy": 6.1292938709259035, + "epoch": 2.4400515685431885, + "grad_norm": 1.125, + "learning_rate": 0.00046757856635088645, + "loss": 5.8006, + "mean_token_accuracy": 0.1770539328455925, + "num_tokens": 5169752.0, + "step": 2840 + }, + { + "entropy": 6.102383279800415, + "epoch": 2.444348947142243, + "grad_norm": 1.0234375, + "learning_rate": 0.0004674064181764105, + "loss": 5.8474, + "mean_token_accuracy": 0.17131757587194443, + "num_tokens": 5178892.0, + "step": 2845 + }, + { + "entropy": 6.149413537979126, + "epoch": 2.448646325741298, + "grad_norm": 0.9765625, + "learning_rate": 0.00046723384986322147, + "loss": 5.8235, + "mean_token_accuracy": 0.1708175078034401, + "num_tokens": 5188468.0, + "step": 2850 + }, + { + "entropy": 6.077389192581177, + "epoch": 2.4529437043403526, + "grad_norm": 1.0625, + "learning_rate": 0.0004670608617881395, + "loss": 5.7566, + "mean_token_accuracy": 0.17592367827892302, + "num_tokens": 5197565.0, + "step": 2855 + }, + { + "entropy": 6.030880689620972, + "epoch": 2.457241082939407, + "grad_norm": 1.1171875, + "learning_rate": 0.0004668874543289014, + "loss": 5.7533, + "mean_token_accuracy": 0.17984721809625626, + "num_tokens": 5205791.0, + "step": 2860 + }, + { + "entropy": 6.102017164230347, + "epoch": 2.4615384615384617, + "grad_norm": 1.078125, + "learning_rate": 0.00046671362786415986, + "loss": 5.7546, + "mean_token_accuracy": 0.18463018238544465, + "num_tokens": 5214773.0, + "step": 2865 + }, + { + "entropy": 6.001052331924439, + "epoch": 2.465835840137516, + "grad_norm": 1.015625, + "learning_rate": 0.00046653938277348237, + "loss": 5.7784, + "mean_token_accuracy": 0.178888800740242, + "num_tokens": 5223734.0, + "step": 2870 + }, + { + "entropy": 6.224011754989624, + "epoch": 2.4701332187365708, + "grad_norm": 1.203125, + "learning_rate": 0.0004663647194373505, + "loss": 5.8493, + "mean_token_accuracy": 0.1654559224843979, + "num_tokens": 5231742.0, + "step": 2875 + }, + { + "entropy": 6.084821510314941, + "epoch": 2.4744305973356253, + "grad_norm": 1.046875, + "learning_rate": 0.00046618963823715913, + "loss": 5.8114, + "mean_token_accuracy": 0.1739817038178444, + "num_tokens": 5241673.0, + "step": 2880 + }, + { + "entropy": 6.109079217910766, + "epoch": 2.47872797593468, + "grad_norm": 1.15625, + "learning_rate": 0.00046601413955521575, + "loss": 5.7746, + "mean_token_accuracy": 0.1694352611899376, + "num_tokens": 5250082.0, + "step": 2885 + }, + { + "entropy": 6.092094850540161, + "epoch": 2.4830253545337344, + "grad_norm": 1.1640625, + "learning_rate": 0.0004658382237747393, + "loss": 5.8386, + "mean_token_accuracy": 0.1698906749486923, + "num_tokens": 5259680.0, + "step": 2890 + }, + { + "entropy": 6.122028970718384, + "epoch": 2.487322733132789, + "grad_norm": 0.98046875, + "learning_rate": 0.00046566189127985946, + "loss": 5.8246, + "mean_token_accuracy": 0.17455327808856963, + "num_tokens": 5269561.0, + "step": 2895 + }, + { + "entropy": 6.137590980529785, + "epoch": 2.4916201117318435, + "grad_norm": 0.98828125, + "learning_rate": 0.000465485142455616, + "loss": 5.7746, + "mean_token_accuracy": 0.18081652075052262, + "num_tokens": 5278659.0, + "step": 2900 + }, + { + "entropy": 6.009606838226318, + "epoch": 2.495917490330898, + "grad_norm": 1.046875, + "learning_rate": 0.00046530797768795765, + "loss": 5.7732, + "mean_token_accuracy": 0.180580236017704, + "num_tokens": 5287619.0, + "step": 2905 + }, + { + "entropy": 6.08758659362793, + "epoch": 2.5002148689299526, + "grad_norm": 1.03125, + "learning_rate": 0.00046513039736374153, + "loss": 5.8748, + "mean_token_accuracy": 0.16648129373788834, + "num_tokens": 5297334.0, + "step": 2910 + }, + { + "entropy": 6.145037269592285, + "epoch": 2.504512247529007, + "grad_norm": 1.1484375, + "learning_rate": 0.0004649524018707319, + "loss": 5.8028, + "mean_token_accuracy": 0.17371988743543626, + "num_tokens": 5306208.0, + "step": 2915 + }, + { + "entropy": 6.061826229095459, + "epoch": 2.5088096261280617, + "grad_norm": 1.1875, + "learning_rate": 0.00046477399159759996, + "loss": 5.7262, + "mean_token_accuracy": 0.17741942554712295, + "num_tokens": 5314754.0, + "step": 2920 + }, + { + "entropy": 5.948053169250488, + "epoch": 2.5131070047271162, + "grad_norm": 1.21875, + "learning_rate": 0.00046459516693392246, + "loss": 5.751, + "mean_token_accuracy": 0.17220668345689774, + "num_tokens": 5324000.0, + "step": 2925 + }, + { + "entropy": 6.165147161483764, + "epoch": 2.517404383326171, + "grad_norm": 1.09375, + "learning_rate": 0.0004644159282701808, + "loss": 5.7977, + "mean_token_accuracy": 0.17256153672933577, + "num_tokens": 5332478.0, + "step": 2930 + }, + { + "entropy": 6.164068746566772, + "epoch": 2.5217017619252258, + "grad_norm": 1.03125, + "learning_rate": 0.00046423627599776076, + "loss": 5.881, + "mean_token_accuracy": 0.16446806192398072, + "num_tokens": 5341635.0, + "step": 2935 + }, + { + "entropy": 6.083116579055786, + "epoch": 2.5259991405242803, + "grad_norm": 1.046875, + "learning_rate": 0.000464056210508951, + "loss": 5.8562, + "mean_token_accuracy": 0.17011034190654756, + "num_tokens": 5350144.0, + "step": 2940 + }, + { + "entropy": 6.115471887588501, + "epoch": 2.530296519123335, + "grad_norm": 1.1171875, + "learning_rate": 0.0004638757321969426, + "loss": 5.7867, + "mean_token_accuracy": 0.17099311649799348, + "num_tokens": 5358788.0, + "step": 2945 + }, + { + "entropy": 6.1144256591796875, + "epoch": 2.5345938977223894, + "grad_norm": 1.0859375, + "learning_rate": 0.00046369484145582815, + "loss": 5.8724, + "mean_token_accuracy": 0.16514718383550644, + "num_tokens": 5368057.0, + "step": 2950 + }, + { + "entropy": 6.012566184997558, + "epoch": 2.538891276321444, + "grad_norm": 1.0546875, + "learning_rate": 0.00046351353868060054, + "loss": 5.7114, + "mean_token_accuracy": 0.18013515770435334, + "num_tokens": 5376739.0, + "step": 2955 + }, + { + "entropy": 6.148663520812988, + "epoch": 2.5431886549204985, + "grad_norm": 1.078125, + "learning_rate": 0.00046333182426715273, + "loss": 5.8321, + "mean_token_accuracy": 0.17200638502836227, + "num_tokens": 5385967.0, + "step": 2960 + }, + { + "entropy": 6.130731725692749, + "epoch": 2.547486033519553, + "grad_norm": 1.046875, + "learning_rate": 0.00046314969861227626, + "loss": 5.8503, + "mean_token_accuracy": 0.16146385669708252, + "num_tokens": 5395192.0, + "step": 2965 + }, + { + "entropy": 6.0897301197052, + "epoch": 2.5517834121186076, + "grad_norm": 0.94921875, + "learning_rate": 0.0004629671621136608, + "loss": 5.8185, + "mean_token_accuracy": 0.1707317277789116, + "num_tokens": 5404694.0, + "step": 2970 + }, + { + "entropy": 6.1051109790802, + "epoch": 2.556080790717662, + "grad_norm": 1.1328125, + "learning_rate": 0.0004627842151698931, + "loss": 5.8208, + "mean_token_accuracy": 0.1680385336279869, + "num_tokens": 5413102.0, + "step": 2975 + }, + { + "entropy": 6.055868244171142, + "epoch": 2.5603781693167167, + "grad_norm": 1.0703125, + "learning_rate": 0.00046260085818045625, + "loss": 5.8548, + "mean_token_accuracy": 0.17059293240308762, + "num_tokens": 5423339.0, + "step": 2980 + }, + { + "entropy": 6.159391784667969, + "epoch": 2.5646755479157712, + "grad_norm": 1.078125, + "learning_rate": 0.0004624170915457284, + "loss": 5.8092, + "mean_token_accuracy": 0.1737206295132637, + "num_tokens": 5432377.0, + "step": 2985 + }, + { + "entropy": 6.093228054046631, + "epoch": 2.5689729265148262, + "grad_norm": 1.2109375, + "learning_rate": 0.00046223291566698264, + "loss": 5.7337, + "mean_token_accuracy": 0.17590138092637062, + "num_tokens": 5441038.0, + "step": 2990 + }, + { + "entropy": 6.048309326171875, + "epoch": 2.5732703051138808, + "grad_norm": 1.0234375, + "learning_rate": 0.0004620483309463855, + "loss": 5.752, + "mean_token_accuracy": 0.18060761988162993, + "num_tokens": 5449557.0, + "step": 2995 + }, + { + "entropy": 6.118342542648316, + "epoch": 2.5775676837129353, + "grad_norm": 1.078125, + "learning_rate": 0.0004618633377869961, + "loss": 5.8908, + "mean_token_accuracy": 0.17027267962694168, + "num_tokens": 5458931.0, + "step": 3000 + }, + { + "epoch": 2.5775676837129353, + "eval_entropy": 5.922512502283664, + "eval_loss": 6.089641094207764, + "eval_mean_token_accuracy": 0.16509396373084537, + "eval_num_tokens": 5458931.0, + "eval_runtime": 2.0449, + "eval_samples_per_second": 1735.564, + "eval_steps_per_second": 217.129, + "step": 3000 + }, + { + "entropy": 6.080532598495483, + "epoch": 2.58186506231199, + "grad_norm": 1.0078125, + "learning_rate": 0.0004616779365927656, + "loss": 5.715, + "mean_token_accuracy": 0.18329965472221374, + "num_tokens": 5468539.0, + "step": 3005 + }, + { + "entropy": 5.97086615562439, + "epoch": 2.5861624409110444, + "grad_norm": 1.2734375, + "learning_rate": 0.0004614921277685361, + "loss": 5.6562, + "mean_token_accuracy": 0.18940457850694656, + "num_tokens": 5475710.0, + "step": 3010 + }, + { + "entropy": 6.014264154434204, + "epoch": 2.590459819510099, + "grad_norm": 1.0390625, + "learning_rate": 0.00046130591172003976, + "loss": 5.8105, + "mean_token_accuracy": 0.17161315381526948, + "num_tokens": 5484597.0, + "step": 3015 + }, + { + "entropy": 6.152267932891846, + "epoch": 2.5947571981091535, + "grad_norm": 1.0390625, + "learning_rate": 0.0004611192888538981, + "loss": 5.8783, + "mean_token_accuracy": 0.16452959179878235, + "num_tokens": 5493213.0, + "step": 3020 + }, + { + "entropy": 6.160617208480835, + "epoch": 2.599054576708208, + "grad_norm": 1.2890625, + "learning_rate": 0.00046093225957762084, + "loss": 5.8774, + "mean_token_accuracy": 0.1677599936723709, + "num_tokens": 5502556.0, + "step": 3025 + }, + { + "entropy": 6.121158790588379, + "epoch": 2.6033519553072626, + "grad_norm": 1.078125, + "learning_rate": 0.0004607448242996051, + "loss": 5.7783, + "mean_token_accuracy": 0.17667657732963563, + "num_tokens": 5511779.0, + "step": 3030 + }, + { + "entropy": 6.09659161567688, + "epoch": 2.607649333906317, + "grad_norm": 1.0859375, + "learning_rate": 0.0004605569834291347, + "loss": 5.7762, + "mean_token_accuracy": 0.17719159871339799, + "num_tokens": 5520836.0, + "step": 3035 + }, + { + "entropy": 6.045120048522949, + "epoch": 2.6119467125053717, + "grad_norm": 1.1953125, + "learning_rate": 0.00046036873737637904, + "loss": 5.7919, + "mean_token_accuracy": 0.1743898034095764, + "num_tokens": 5529285.0, + "step": 3040 + }, + { + "entropy": 6.032482624053955, + "epoch": 2.6162440911044262, + "grad_norm": 1.0859375, + "learning_rate": 0.0004601800865523921, + "loss": 5.795, + "mean_token_accuracy": 0.171583154797554, + "num_tokens": 5538160.0, + "step": 3045 + }, + { + "entropy": 6.106417560577393, + "epoch": 2.620541469703481, + "grad_norm": 1.0859375, + "learning_rate": 0.00045999103136911204, + "loss": 5.801, + "mean_token_accuracy": 0.16901974827051164, + "num_tokens": 5547355.0, + "step": 3050 + }, + { + "entropy": 6.082255268096924, + "epoch": 2.6248388483025353, + "grad_norm": 1.0390625, + "learning_rate": 0.00045980157223935965, + "loss": 5.8134, + "mean_token_accuracy": 0.17005283683538436, + "num_tokens": 5557299.0, + "step": 3055 + }, + { + "entropy": 6.022762966156006, + "epoch": 2.62913622690159, + "grad_norm": 1.015625, + "learning_rate": 0.00045961170957683806, + "loss": 5.7335, + "mean_token_accuracy": 0.17649647146463393, + "num_tokens": 5565469.0, + "step": 3060 + }, + { + "entropy": 6.093750953674316, + "epoch": 2.6334336055006444, + "grad_norm": 1.0390625, + "learning_rate": 0.00045942144379613147, + "loss": 5.8526, + "mean_token_accuracy": 0.17166510373353958, + "num_tokens": 5574740.0, + "step": 3065 + }, + { + "entropy": 6.13080358505249, + "epoch": 2.637730984099699, + "grad_norm": 1.0703125, + "learning_rate": 0.00045923077531270426, + "loss": 5.8407, + "mean_token_accuracy": 0.1691308617591858, + "num_tokens": 5583438.0, + "step": 3070 + }, + { + "entropy": 6.099384212493897, + "epoch": 2.6420283626987535, + "grad_norm": 1.078125, + "learning_rate": 0.0004590397045429001, + "loss": 5.8094, + "mean_token_accuracy": 0.17814612835645677, + "num_tokens": 5592389.0, + "step": 3075 + }, + { + "entropy": 6.034897947311402, + "epoch": 2.646325741297808, + "grad_norm": 0.984375, + "learning_rate": 0.00045884823190394134, + "loss": 5.7097, + "mean_token_accuracy": 0.18135049045085908, + "num_tokens": 5601598.0, + "step": 3080 + }, + { + "entropy": 6.026404762268067, + "epoch": 2.650623119896863, + "grad_norm": 1.1484375, + "learning_rate": 0.0004586563578139275, + "loss": 5.7991, + "mean_token_accuracy": 0.16875589936971663, + "num_tokens": 5610498.0, + "step": 3085 + }, + { + "entropy": 6.030868768692017, + "epoch": 2.6549204984959176, + "grad_norm": 1.1875, + "learning_rate": 0.00045846408269183505, + "loss": 5.7054, + "mean_token_accuracy": 0.1822717770934105, + "num_tokens": 5620082.0, + "step": 3090 + }, + { + "entropy": 6.124869680404663, + "epoch": 2.659217877094972, + "grad_norm": 1.0546875, + "learning_rate": 0.00045827140695751603, + "loss": 5.7925, + "mean_token_accuracy": 0.17561250925064087, + "num_tokens": 5630291.0, + "step": 3095 + }, + { + "entropy": 6.034296226501465, + "epoch": 2.6635152556940267, + "grad_norm": 1.1875, + "learning_rate": 0.0004580783310316971, + "loss": 5.7735, + "mean_token_accuracy": 0.1745203271508217, + "num_tokens": 5638784.0, + "step": 3100 + }, + { + "entropy": 5.955547714233399, + "epoch": 2.6678126342930812, + "grad_norm": 1.09375, + "learning_rate": 0.00045788485533597895, + "loss": 5.6462, + "mean_token_accuracy": 0.1883938804268837, + "num_tokens": 5647968.0, + "step": 3105 + }, + { + "entropy": 6.074917793273926, + "epoch": 2.672110012892136, + "grad_norm": 1.0625, + "learning_rate": 0.00045769098029283526, + "loss": 5.8675, + "mean_token_accuracy": 0.16595781594514847, + "num_tokens": 5657543.0, + "step": 3110 + }, + { + "entropy": 6.098982810974121, + "epoch": 2.6764073914911903, + "grad_norm": 1.1328125, + "learning_rate": 0.0004574967063256115, + "loss": 5.7801, + "mean_token_accuracy": 0.17747018337249756, + "num_tokens": 5666535.0, + "step": 3115 + }, + { + "entropy": 6.071979904174805, + "epoch": 2.680704770090245, + "grad_norm": 1.125, + "learning_rate": 0.00045730203385852447, + "loss": 5.8624, + "mean_token_accuracy": 0.17044119387865067, + "num_tokens": 5676273.0, + "step": 3120 + }, + { + "entropy": 5.99071159362793, + "epoch": 2.6850021486892994, + "grad_norm": 1.0546875, + "learning_rate": 0.000457106963316661, + "loss": 5.7612, + "mean_token_accuracy": 0.177787147462368, + "num_tokens": 5684888.0, + "step": 3125 + }, + { + "entropy": 6.075513315200806, + "epoch": 2.689299527288354, + "grad_norm": 1.0859375, + "learning_rate": 0.00045691149512597717, + "loss": 5.8228, + "mean_token_accuracy": 0.17054860144853592, + "num_tokens": 5693626.0, + "step": 3130 + }, + { + "entropy": 6.097319412231445, + "epoch": 2.6935969058874085, + "grad_norm": 1.3671875, + "learning_rate": 0.00045671562971329736, + "loss": 5.7252, + "mean_token_accuracy": 0.18006587252020836, + "num_tokens": 5702542.0, + "step": 3135 + }, + { + "entropy": 5.990765905380249, + "epoch": 2.6978942844864635, + "grad_norm": 1.1875, + "learning_rate": 0.00045651936750631337, + "loss": 5.7717, + "mean_token_accuracy": 0.17453034669160844, + "num_tokens": 5711440.0, + "step": 3140 + }, + { + "entropy": 6.161540746688843, + "epoch": 2.702191663085518, + "grad_norm": 1.0546875, + "learning_rate": 0.00045632270893358333, + "loss": 5.8408, + "mean_token_accuracy": 0.17016429752111434, + "num_tokens": 5721495.0, + "step": 3145 + }, + { + "entropy": 6.113433980941773, + "epoch": 2.7064890416845726, + "grad_norm": 1.1171875, + "learning_rate": 0.0004561256544245312, + "loss": 5.8702, + "mean_token_accuracy": 0.16516700088977815, + "num_tokens": 5730664.0, + "step": 3150 + }, + { + "entropy": 6.01002688407898, + "epoch": 2.710786420283627, + "grad_norm": 1.0859375, + "learning_rate": 0.000455928204409445, + "loss": 5.7398, + "mean_token_accuracy": 0.18062053769826888, + "num_tokens": 5740229.0, + "step": 3155 + }, + { + "entropy": 6.008193063735962, + "epoch": 2.7150837988826817, + "grad_norm": 1.1484375, + "learning_rate": 0.00045573035931947684, + "loss": 5.7378, + "mean_token_accuracy": 0.1744979053735733, + "num_tokens": 5748549.0, + "step": 3160 + }, + { + "entropy": 6.039789533615112, + "epoch": 2.7193811774817362, + "grad_norm": 1.125, + "learning_rate": 0.0004555321195866411, + "loss": 5.6806, + "mean_token_accuracy": 0.17732828259468078, + "num_tokens": 5757603.0, + "step": 3165 + }, + { + "entropy": 6.080458354949951, + "epoch": 2.723678556080791, + "grad_norm": 1.265625, + "learning_rate": 0.0004553334856438143, + "loss": 5.8618, + "mean_token_accuracy": 0.16976358145475387, + "num_tokens": 5767520.0, + "step": 3170 + }, + { + "entropy": 6.09289813041687, + "epoch": 2.7279759346798453, + "grad_norm": 1.0078125, + "learning_rate": 0.00045513445792473356, + "loss": 5.8583, + "mean_token_accuracy": 0.1657076820731163, + "num_tokens": 5776778.0, + "step": 3175 + }, + { + "entropy": 6.129758882522583, + "epoch": 2.7322733132789, + "grad_norm": 1.1328125, + "learning_rate": 0.0004549350368639958, + "loss": 5.8808, + "mean_token_accuracy": 0.16651461273431778, + "num_tokens": 5785652.0, + "step": 3180 + }, + { + "entropy": 6.144531726837158, + "epoch": 2.7365706918779544, + "grad_norm": 1.078125, + "learning_rate": 0.00045473522289705693, + "loss": 5.849, + "mean_token_accuracy": 0.1734338730573654, + "num_tokens": 5795766.0, + "step": 3185 + }, + { + "entropy": 5.992430114746094, + "epoch": 2.740868070477009, + "grad_norm": 1.140625, + "learning_rate": 0.00045453501646023085, + "loss": 5.8822, + "mean_token_accuracy": 0.16669443398714065, + "num_tokens": 5804504.0, + "step": 3190 + }, + { + "entropy": 6.04656753540039, + "epoch": 2.7451654490760635, + "grad_norm": 0.94921875, + "learning_rate": 0.00045433441799068837, + "loss": 5.7879, + "mean_token_accuracy": 0.17372047603130342, + "num_tokens": 5814161.0, + "step": 3195 + }, + { + "entropy": 6.094403076171875, + "epoch": 2.749462827675118, + "grad_norm": 1.0625, + "learning_rate": 0.0004541334279264562, + "loss": 5.6942, + "mean_token_accuracy": 0.18637760877609252, + "num_tokens": 5822235.0, + "step": 3200 + }, + { + "entropy": 6.033037233352661, + "epoch": 2.7537602062741726, + "grad_norm": 1.15625, + "learning_rate": 0.00045393204670641656, + "loss": 5.7009, + "mean_token_accuracy": 0.17470744848251343, + "num_tokens": 5831572.0, + "step": 3205 + }, + { + "entropy": 5.930374097824097, + "epoch": 2.758057584873227, + "grad_norm": 1.046875, + "learning_rate": 0.0004537302747703055, + "loss": 5.7328, + "mean_token_accuracy": 0.18409457355737685, + "num_tokens": 5839694.0, + "step": 3210 + }, + { + "entropy": 6.124579620361328, + "epoch": 2.7623549634722817, + "grad_norm": 1.1640625, + "learning_rate": 0.00045352811255871216, + "loss": 5.8448, + "mean_token_accuracy": 0.17230847403407096, + "num_tokens": 5849131.0, + "step": 3215 + }, + { + "entropy": 6.174058246612549, + "epoch": 2.7666523420713363, + "grad_norm": 0.93359375, + "learning_rate": 0.00045332556051307804, + "loss": 5.7711, + "mean_token_accuracy": 0.1720232903957367, + "num_tokens": 5858861.0, + "step": 3220 + }, + { + "entropy": 6.060689687728882, + "epoch": 2.770949720670391, + "grad_norm": 1.078125, + "learning_rate": 0.00045312261907569585, + "loss": 5.7833, + "mean_token_accuracy": 0.17473076432943344, + "num_tokens": 5867585.0, + "step": 3225 + }, + { + "entropy": 6.015534782409668, + "epoch": 2.775247099269446, + "grad_norm": 1.078125, + "learning_rate": 0.00045291928868970867, + "loss": 5.7865, + "mean_token_accuracy": 0.16985856741666794, + "num_tokens": 5876256.0, + "step": 3230 + }, + { + "entropy": 6.038353967666626, + "epoch": 2.7795444778685003, + "grad_norm": 1.0703125, + "learning_rate": 0.0004527155697991087, + "loss": 5.8471, + "mean_token_accuracy": 0.16595111042261124, + "num_tokens": 5885302.0, + "step": 3235 + }, + { + "entropy": 6.021387720108033, + "epoch": 2.783841856467555, + "grad_norm": 0.94921875, + "learning_rate": 0.0004525114628487365, + "loss": 5.8628, + "mean_token_accuracy": 0.16938397139310837, + "num_tokens": 5895066.0, + "step": 3240 + }, + { + "entropy": 6.151897144317627, + "epoch": 2.7881392350666094, + "grad_norm": 1.0546875, + "learning_rate": 0.00045230696828428026, + "loss": 5.8557, + "mean_token_accuracy": 0.16848236918449402, + "num_tokens": 5903258.0, + "step": 3245 + }, + { + "entropy": 6.039195203781128, + "epoch": 2.792436613665664, + "grad_norm": 1.15625, + "learning_rate": 0.0004521020865522742, + "loss": 5.7511, + "mean_token_accuracy": 0.1710444927215576, + "num_tokens": 5911714.0, + "step": 3250 + }, + { + "entropy": 5.995623922348022, + "epoch": 2.7967339922647185, + "grad_norm": 1.0859375, + "learning_rate": 0.00045189681810009827, + "loss": 5.8176, + "mean_token_accuracy": 0.17098681181669234, + "num_tokens": 5920432.0, + "step": 3255 + }, + { + "entropy": 6.183896541595459, + "epoch": 2.801031370863773, + "grad_norm": 1.234375, + "learning_rate": 0.00045169116337597653, + "loss": 5.8195, + "mean_token_accuracy": 0.1705167680978775, + "num_tokens": 5929202.0, + "step": 3260 + }, + { + "entropy": 6.115947484970093, + "epoch": 2.8053287494628276, + "grad_norm": 1.1640625, + "learning_rate": 0.000451485122828977, + "loss": 5.8601, + "mean_token_accuracy": 0.16596955806016922, + "num_tokens": 5938034.0, + "step": 3265 + }, + { + "entropy": 5.939763784408569, + "epoch": 2.809626128061882, + "grad_norm": 1.015625, + "learning_rate": 0.00045127869690900956, + "loss": 5.7097, + "mean_token_accuracy": 0.18104571253061294, + "num_tokens": 5946944.0, + "step": 3270 + }, + { + "entropy": 6.011037588119507, + "epoch": 2.8139235066609367, + "grad_norm": 1.21875, + "learning_rate": 0.00045107188606682613, + "loss": 5.8219, + "mean_token_accuracy": 0.17439836859703065, + "num_tokens": 5956475.0, + "step": 3275 + }, + { + "entropy": 6.145265722274781, + "epoch": 2.8182208852599913, + "grad_norm": 1.125, + "learning_rate": 0.0004508646907540188, + "loss": 5.7788, + "mean_token_accuracy": 0.1669231042265892, + "num_tokens": 5965814.0, + "step": 3280 + }, + { + "entropy": 6.047088956832885, + "epoch": 2.8225182638590463, + "grad_norm": 1.1484375, + "learning_rate": 0.0004506571114230195, + "loss": 5.839, + "mean_token_accuracy": 0.16392946541309356, + "num_tokens": 5973850.0, + "step": 3285 + }, + { + "entropy": 5.966979217529297, + "epoch": 2.826815642458101, + "grad_norm": 1.0, + "learning_rate": 0.00045044914852709824, + "loss": 5.7718, + "mean_token_accuracy": 0.17040073573589326, + "num_tokens": 5982987.0, + "step": 3290 + }, + { + "entropy": 6.124370384216308, + "epoch": 2.8311130210571553, + "grad_norm": 1.1328125, + "learning_rate": 0.0004502408025203631, + "loss": 5.7567, + "mean_token_accuracy": 0.18116641640663148, + "num_tokens": 5992227.0, + "step": 3295 + }, + { + "entropy": 6.060417222976684, + "epoch": 2.83541039965621, + "grad_norm": 1.046875, + "learning_rate": 0.0004500320738577584, + "loss": 5.7373, + "mean_token_accuracy": 0.18134199529886247, + "num_tokens": 6000243.0, + "step": 3300 + }, + { + "entropy": 6.009725856781006, + "epoch": 2.8397077782552644, + "grad_norm": 1.1171875, + "learning_rate": 0.00044982296299506407, + "loss": 5.7396, + "mean_token_accuracy": 0.1772996261715889, + "num_tokens": 6009771.0, + "step": 3305 + }, + { + "entropy": 6.065958309173584, + "epoch": 2.844005156854319, + "grad_norm": 1.203125, + "learning_rate": 0.0004496134703888948, + "loss": 5.8227, + "mean_token_accuracy": 0.17212264090776444, + "num_tokens": 6018683.0, + "step": 3310 + }, + { + "entropy": 6.064363861083985, + "epoch": 2.8483025354533735, + "grad_norm": 1.0859375, + "learning_rate": 0.00044940359649669846, + "loss": 5.6744, + "mean_token_accuracy": 0.18227704763412475, + "num_tokens": 6027422.0, + "step": 3315 + }, + { + "entropy": 5.975715494155883, + "epoch": 2.852599914052428, + "grad_norm": 1.0859375, + "learning_rate": 0.00044919334177675595, + "loss": 5.7633, + "mean_token_accuracy": 0.1744269087910652, + "num_tokens": 6035670.0, + "step": 3320 + }, + { + "entropy": 6.036557149887085, + "epoch": 2.8568972926514826, + "grad_norm": 1.1015625, + "learning_rate": 0.00044898270668817955, + "loss": 5.6979, + "mean_token_accuracy": 0.1815047174692154, + "num_tokens": 6044092.0, + "step": 3325 + }, + { + "entropy": 6.020293951034546, + "epoch": 2.861194671250537, + "grad_norm": 0.99609375, + "learning_rate": 0.000448771691690912, + "loss": 5.7773, + "mean_token_accuracy": 0.16777832806110382, + "num_tokens": 6053970.0, + "step": 3330 + }, + { + "entropy": 6.0354420185089115, + "epoch": 2.8654920498495917, + "grad_norm": 1.0546875, + "learning_rate": 0.0004485602972457257, + "loss": 5.7383, + "mean_token_accuracy": 0.1797216445207596, + "num_tokens": 6062965.0, + "step": 3335 + }, + { + "entropy": 6.068978786468506, + "epoch": 2.8697894284486463, + "grad_norm": 1.0859375, + "learning_rate": 0.00044834852381422165, + "loss": 5.8049, + "mean_token_accuracy": 0.17490418255329132, + "num_tokens": 6072420.0, + "step": 3340 + }, + { + "entropy": 6.005989837646484, + "epoch": 2.874086807047701, + "grad_norm": 1.078125, + "learning_rate": 0.00044813637185882836, + "loss": 5.7175, + "mean_token_accuracy": 0.17540892213582993, + "num_tokens": 6080915.0, + "step": 3345 + }, + { + "entropy": 6.08394684791565, + "epoch": 2.8783841856467554, + "grad_norm": 1.1953125, + "learning_rate": 0.00044792384184280106, + "loss": 5.8546, + "mean_token_accuracy": 0.16469819992780685, + "num_tokens": 6090453.0, + "step": 3350 + }, + { + "entropy": 6.007422256469726, + "epoch": 2.88268156424581, + "grad_norm": 1.1171875, + "learning_rate": 0.00044771093423022013, + "loss": 5.8795, + "mean_token_accuracy": 0.16327449679374695, + "num_tokens": 6099390.0, + "step": 3355 + }, + { + "entropy": 6.039740133285522, + "epoch": 2.8869789428448644, + "grad_norm": 1.03125, + "learning_rate": 0.0004474976494859909, + "loss": 5.798, + "mean_token_accuracy": 0.17494250684976578, + "num_tokens": 6108677.0, + "step": 3360 + }, + { + "entropy": 6.058880233764649, + "epoch": 2.891276321443919, + "grad_norm": 0.98828125, + "learning_rate": 0.0004472839880758419, + "loss": 5.716, + "mean_token_accuracy": 0.17659443318843843, + "num_tokens": 6117151.0, + "step": 3365 + }, + { + "entropy": 6.116930532455444, + "epoch": 2.8955737000429735, + "grad_norm": 1.140625, + "learning_rate": 0.0004470699504663242, + "loss": 5.8387, + "mean_token_accuracy": 0.16731317192316056, + "num_tokens": 6127167.0, + "step": 3370 + }, + { + "entropy": 6.032348012924194, + "epoch": 2.899871078642028, + "grad_norm": 1.0703125, + "learning_rate": 0.0004468555371248104, + "loss": 5.7315, + "mean_token_accuracy": 0.1812448814511299, + "num_tokens": 6136487.0, + "step": 3375 + }, + { + "entropy": 6.042793130874633, + "epoch": 2.904168457241083, + "grad_norm": 1.0546875, + "learning_rate": 0.0004466407485194937, + "loss": 5.8432, + "mean_token_accuracy": 0.16948612183332443, + "num_tokens": 6145334.0, + "step": 3380 + }, + { + "entropy": 6.0380902767181395, + "epoch": 2.9084658358401376, + "grad_norm": 1.0546875, + "learning_rate": 0.0004464255851193864, + "loss": 5.7558, + "mean_token_accuracy": 0.17524855434894562, + "num_tokens": 6155062.0, + "step": 3385 + }, + { + "entropy": 6.0504677295684814, + "epoch": 2.912763214439192, + "grad_norm": 1.84375, + "learning_rate": 0.0004462100473943194, + "loss": 5.6948, + "mean_token_accuracy": 0.1831045612692833, + "num_tokens": 6164313.0, + "step": 3390 + }, + { + "entropy": 6.009590721130371, + "epoch": 2.9170605930382467, + "grad_norm": 1.0234375, + "learning_rate": 0.000445994135814941, + "loss": 5.7596, + "mean_token_accuracy": 0.17282265722751616, + "num_tokens": 6173513.0, + "step": 3395 + }, + { + "entropy": 6.019471836090088, + "epoch": 2.9213579716373013, + "grad_norm": 1.2578125, + "learning_rate": 0.00044577785085271566, + "loss": 5.7717, + "mean_token_accuracy": 0.17321082055568696, + "num_tokens": 6182000.0, + "step": 3400 + }, + { + "entropy": 6.081956481933593, + "epoch": 2.925655350236356, + "grad_norm": 1.0, + "learning_rate": 0.0004455611929799235, + "loss": 5.8084, + "mean_token_accuracy": 0.16455612033605577, + "num_tokens": 6191887.0, + "step": 3405 + }, + { + "entropy": 5.956260538101196, + "epoch": 2.9299527288354104, + "grad_norm": 1.0234375, + "learning_rate": 0.0004453441626696585, + "loss": 5.8554, + "mean_token_accuracy": 0.16420858800411225, + "num_tokens": 6202897.0, + "step": 3410 + }, + { + "entropy": 6.078850793838501, + "epoch": 2.934250107434465, + "grad_norm": 1.0625, + "learning_rate": 0.00044512676039582823, + "loss": 5.7438, + "mean_token_accuracy": 0.18065994828939438, + "num_tokens": 6211811.0, + "step": 3415 + }, + { + "entropy": 6.1270510196685795, + "epoch": 2.9385474860335195, + "grad_norm": 1.125, + "learning_rate": 0.0004449089866331524, + "loss": 5.7475, + "mean_token_accuracy": 0.1779635578393936, + "num_tokens": 6219896.0, + "step": 3420 + }, + { + "entropy": 5.887205791473389, + "epoch": 2.942844864632574, + "grad_norm": 1.109375, + "learning_rate": 0.0004446908418571617, + "loss": 5.737, + "mean_token_accuracy": 0.17775188386440277, + "num_tokens": 6228212.0, + "step": 3425 + }, + { + "entropy": 6.039950180053711, + "epoch": 2.9471422432316285, + "grad_norm": 1.046875, + "learning_rate": 0.0004444723265441973, + "loss": 5.896, + "mean_token_accuracy": 0.16747722327709197, + "num_tokens": 6238133.0, + "step": 3430 + }, + { + "entropy": 6.076528787612915, + "epoch": 2.9514396218306835, + "grad_norm": 0.9765625, + "learning_rate": 0.0004442534411714092, + "loss": 5.7945, + "mean_token_accuracy": 0.16944347620010375, + "num_tokens": 6247331.0, + "step": 3435 + }, + { + "entropy": 6.101355123519897, + "epoch": 2.955737000429738, + "grad_norm": 1.125, + "learning_rate": 0.00044403418621675555, + "loss": 5.7926, + "mean_token_accuracy": 0.17052113264799118, + "num_tokens": 6255280.0, + "step": 3440 + }, + { + "entropy": 6.050349187850952, + "epoch": 2.9600343790287926, + "grad_norm": 1.0625, + "learning_rate": 0.0004438145621590017, + "loss": 5.7555, + "mean_token_accuracy": 0.17491218596696853, + "num_tokens": 6264752.0, + "step": 3445 + }, + { + "entropy": 5.9742930889129635, + "epoch": 2.964331757627847, + "grad_norm": 1.140625, + "learning_rate": 0.00044359456947771857, + "loss": 5.7023, + "mean_token_accuracy": 0.17401786297559738, + "num_tokens": 6273258.0, + "step": 3450 + }, + { + "entropy": 5.869597768783569, + "epoch": 2.9686291362269017, + "grad_norm": 1.21875, + "learning_rate": 0.0004433742086532824, + "loss": 5.6228, + "mean_token_accuracy": 0.19265587478876114, + "num_tokens": 6281584.0, + "step": 3455 + }, + { + "entropy": 6.010894346237182, + "epoch": 2.9729265148259563, + "grad_norm": 1.203125, + "learning_rate": 0.00044315348016687317, + "loss": 5.7472, + "mean_token_accuracy": 0.17217940390110015, + "num_tokens": 6290016.0, + "step": 3460 + }, + { + "entropy": 5.982230138778687, + "epoch": 2.977223893425011, + "grad_norm": 1.0703125, + "learning_rate": 0.0004429323845004736, + "loss": 5.6523, + "mean_token_accuracy": 0.18324829190969466, + "num_tokens": 6298569.0, + "step": 3465 + }, + { + "entropy": 6.025563192367554, + "epoch": 2.9815212720240654, + "grad_norm": 1.015625, + "learning_rate": 0.00044271092213686824, + "loss": 5.6855, + "mean_token_accuracy": 0.18166320472955705, + "num_tokens": 6307684.0, + "step": 3470 + }, + { + "entropy": 6.1143230438232425, + "epoch": 2.98581865062312, + "grad_norm": 0.98046875, + "learning_rate": 0.00044248909355964247, + "loss": 5.8192, + "mean_token_accuracy": 0.17195742726325988, + "num_tokens": 6317767.0, + "step": 3475 + }, + { + "entropy": 6.101650047302246, + "epoch": 2.9901160292221745, + "grad_norm": 1.140625, + "learning_rate": 0.00044226689925318117, + "loss": 5.8454, + "mean_token_accuracy": 0.16614989936351776, + "num_tokens": 6327457.0, + "step": 3480 + }, + { + "entropy": 5.9672809600830075, + "epoch": 2.994413407821229, + "grad_norm": 1.0703125, + "learning_rate": 0.00044204433970266785, + "loss": 5.6491, + "mean_token_accuracy": 0.1888262301683426, + "num_tokens": 6335747.0, + "step": 3485 + }, + { + "entropy": 5.983137941360473, + "epoch": 2.9987107864202835, + "grad_norm": 1.078125, + "learning_rate": 0.0004418214153940837, + "loss": 5.7429, + "mean_token_accuracy": 0.18020158410072326, + "num_tokens": 6344750.0, + "step": 3490 + }, + { + "entropy": 6.069730917612712, + "epoch": 3.002578427159433, + "grad_norm": 0.9140625, + "learning_rate": 0.00044159812681420624, + "loss": 5.6774, + "mean_token_accuracy": 0.18010619613859388, + "num_tokens": 6354779.0, + "step": 3495 + }, + { + "entropy": 6.04861307144165, + "epoch": 3.0068758057584875, + "grad_norm": 1.109375, + "learning_rate": 0.0004413744744506086, + "loss": 5.4671, + "mean_token_accuracy": 0.18785551339387893, + "num_tokens": 6363809.0, + "step": 3500 + }, + { + "epoch": 3.0068758057584875, + "eval_entropy": 5.758008357640859, + "eval_loss": 6.010996341705322, + "eval_mean_token_accuracy": 0.17076294478196818, + "eval_num_tokens": 6363809.0, + "eval_runtime": 2.0461, + "eval_samples_per_second": 1734.535, + "eval_steps_per_second": 217.0, + "step": 3500 + }, + { + "entropy": 5.996388673782349, + "epoch": 3.011173184357542, + "grad_norm": 1.078125, + "learning_rate": 0.00044115045879165806, + "loss": 5.5232, + "mean_token_accuracy": 0.18338106274604798, + "num_tokens": 6373082.0, + "step": 3505 + }, + { + "entropy": 6.007624244689941, + "epoch": 3.0154705629565965, + "grad_norm": 1.1328125, + "learning_rate": 0.00044092608032651515, + "loss": 5.4884, + "mean_token_accuracy": 0.18493928611278534, + "num_tokens": 6381286.0, + "step": 3510 + }, + { + "entropy": 6.025672864913941, + "epoch": 3.019767941555651, + "grad_norm": 1.0, + "learning_rate": 0.00044070133954513305, + "loss": 5.4331, + "mean_token_accuracy": 0.19577560871839522, + "num_tokens": 6390217.0, + "step": 3515 + }, + { + "entropy": 6.000850200653076, + "epoch": 3.0240653201547056, + "grad_norm": 1.2421875, + "learning_rate": 0.0004404762369382555, + "loss": 5.4683, + "mean_token_accuracy": 0.18827376067638396, + "num_tokens": 6399276.0, + "step": 3520 + }, + { + "entropy": 5.93954758644104, + "epoch": 3.02836269875376, + "grad_norm": 1.1640625, + "learning_rate": 0.00044025077299741683, + "loss": 5.4445, + "mean_token_accuracy": 0.1970704421401024, + "num_tokens": 6407981.0, + "step": 3525 + }, + { + "entropy": 5.957830190658569, + "epoch": 3.0326600773528147, + "grad_norm": 1.1484375, + "learning_rate": 0.00044002494821494007, + "loss": 5.4438, + "mean_token_accuracy": 0.1922784000635147, + "num_tokens": 6416159.0, + "step": 3530 + }, + { + "entropy": 5.9005261898040775, + "epoch": 3.0369574559518693, + "grad_norm": 1.109375, + "learning_rate": 0.00043979876308393635, + "loss": 5.4964, + "mean_token_accuracy": 0.19178588539361954, + "num_tokens": 6424564.0, + "step": 3535 + }, + { + "entropy": 6.050303220748901, + "epoch": 3.041254834550924, + "grad_norm": 1.0625, + "learning_rate": 0.0004395722180983036, + "loss": 5.5298, + "mean_token_accuracy": 0.1850397542119026, + "num_tokens": 6434163.0, + "step": 3540 + }, + { + "entropy": 5.894874811172485, + "epoch": 3.0455522131499784, + "grad_norm": 1.1171875, + "learning_rate": 0.00043934531375272535, + "loss": 5.3505, + "mean_token_accuracy": 0.20217433124780654, + "num_tokens": 6443372.0, + "step": 3545 + }, + { + "entropy": 5.910711765289307, + "epoch": 3.049849591749033, + "grad_norm": 1.0, + "learning_rate": 0.00043911805054267015, + "loss": 5.4569, + "mean_token_accuracy": 0.19326651990413665, + "num_tokens": 6452638.0, + "step": 3550 + }, + { + "entropy": 6.0943183422088625, + "epoch": 3.0541469703480875, + "grad_norm": 1.0703125, + "learning_rate": 0.00043889042896439004, + "loss": 5.4504, + "mean_token_accuracy": 0.19366029798984527, + "num_tokens": 6461319.0, + "step": 3555 + }, + { + "entropy": 5.933924388885498, + "epoch": 3.0584443489471425, + "grad_norm": 1.2890625, + "learning_rate": 0.00043866244951491946, + "loss": 5.3807, + "mean_token_accuracy": 0.20453428626060485, + "num_tokens": 6469506.0, + "step": 3560 + }, + { + "entropy": 5.953407573699951, + "epoch": 3.062741727546197, + "grad_norm": 1.1171875, + "learning_rate": 0.00043843411269207445, + "loss": 5.437, + "mean_token_accuracy": 0.1967134654521942, + "num_tokens": 6478404.0, + "step": 3565 + }, + { + "entropy": 5.93691873550415, + "epoch": 3.0670391061452515, + "grad_norm": 1.09375, + "learning_rate": 0.0004382054189944514, + "loss": 5.3816, + "mean_token_accuracy": 0.19278321117162706, + "num_tokens": 6487447.0, + "step": 3570 + }, + { + "entropy": 5.878192138671875, + "epoch": 3.071336484744306, + "grad_norm": 1.046875, + "learning_rate": 0.0004379763689214259, + "loss": 5.4196, + "mean_token_accuracy": 0.18803493976593016, + "num_tokens": 6496738.0, + "step": 3575 + }, + { + "entropy": 5.99528021812439, + "epoch": 3.0756338633433606, + "grad_norm": 0.984375, + "learning_rate": 0.0004377469629731518, + "loss": 5.4317, + "mean_token_accuracy": 0.193548683822155, + "num_tokens": 6505848.0, + "step": 3580 + }, + { + "entropy": 5.963389873504639, + "epoch": 3.079931241942415, + "grad_norm": 1.0390625, + "learning_rate": 0.0004375172016505599, + "loss": 5.4138, + "mean_token_accuracy": 0.19534891694784165, + "num_tokens": 6515731.0, + "step": 3585 + }, + { + "entropy": 5.967396306991577, + "epoch": 3.0842286205414697, + "grad_norm": 1.0390625, + "learning_rate": 0.0004372870854553572, + "loss": 5.4706, + "mean_token_accuracy": 0.194082772731781, + "num_tokens": 6524914.0, + "step": 3590 + }, + { + "entropy": 5.949575996398925, + "epoch": 3.0885259991405243, + "grad_norm": 1.078125, + "learning_rate": 0.0004370566148900255, + "loss": 5.4527, + "mean_token_accuracy": 0.19753452241420746, + "num_tokens": 6533712.0, + "step": 3595 + }, + { + "entropy": 5.982216501235962, + "epoch": 3.092823377739579, + "grad_norm": 1.0859375, + "learning_rate": 0.00043682579045782024, + "loss": 5.5375, + "mean_token_accuracy": 0.18995364159345626, + "num_tokens": 6543313.0, + "step": 3600 + }, + { + "entropy": 5.923231220245361, + "epoch": 3.0971207563386334, + "grad_norm": 1.203125, + "learning_rate": 0.0004365946126627699, + "loss": 5.4189, + "mean_token_accuracy": 0.2017338365316391, + "num_tokens": 6551634.0, + "step": 3605 + }, + { + "entropy": 5.981328535079956, + "epoch": 3.101418134937688, + "grad_norm": 1.0859375, + "learning_rate": 0.00043636308200967433, + "loss": 5.4241, + "mean_token_accuracy": 0.2000526711344719, + "num_tokens": 6560695.0, + "step": 3610 + }, + { + "entropy": 5.813827800750732, + "epoch": 3.1057155135367425, + "grad_norm": 1.0390625, + "learning_rate": 0.0004361311990041039, + "loss": 5.3344, + "mean_token_accuracy": 0.1969393327832222, + "num_tokens": 6569086.0, + "step": 3615 + }, + { + "entropy": 5.89613938331604, + "epoch": 3.110012892135797, + "grad_norm": 1.09375, + "learning_rate": 0.00043589896415239843, + "loss": 5.4161, + "mean_token_accuracy": 0.19979367852211, + "num_tokens": 6578287.0, + "step": 3620 + }, + { + "entropy": 5.952451086044311, + "epoch": 3.1143102707348516, + "grad_norm": 1.015625, + "learning_rate": 0.00043566637796166595, + "loss": 5.4753, + "mean_token_accuracy": 0.19049297720193864, + "num_tokens": 6587015.0, + "step": 3625 + }, + { + "entropy": 5.962173509597778, + "epoch": 3.118607649333906, + "grad_norm": 1.1796875, + "learning_rate": 0.00043543344093978186, + "loss": 5.5175, + "mean_token_accuracy": 0.18538623303174973, + "num_tokens": 6596187.0, + "step": 3630 + }, + { + "entropy": 5.912763595581055, + "epoch": 3.122905027932961, + "grad_norm": 1.109375, + "learning_rate": 0.00043520015359538745, + "loss": 5.3898, + "mean_token_accuracy": 0.19703881144523622, + "num_tokens": 6605226.0, + "step": 3635 + }, + { + "entropy": 5.858266019821167, + "epoch": 3.1272024065320156, + "grad_norm": 1.1328125, + "learning_rate": 0.0004349665164378891, + "loss": 5.4371, + "mean_token_accuracy": 0.1935065433382988, + "num_tokens": 6613232.0, + "step": 3640 + }, + { + "entropy": 5.901705503463745, + "epoch": 3.13149978513107, + "grad_norm": 1.140625, + "learning_rate": 0.00043473252997745684, + "loss": 5.4392, + "mean_token_accuracy": 0.19095546007156372, + "num_tokens": 6622247.0, + "step": 3645 + }, + { + "entropy": 5.985095024108887, + "epoch": 3.1357971637301247, + "grad_norm": 1.6171875, + "learning_rate": 0.00043449819472502366, + "loss": 5.3871, + "mean_token_accuracy": 0.19558012783527373, + "num_tokens": 6630883.0, + "step": 3650 + }, + { + "entropy": 5.880083703994751, + "epoch": 3.1400945423291793, + "grad_norm": 1.1328125, + "learning_rate": 0.0004342635111922841, + "loss": 5.5374, + "mean_token_accuracy": 0.19031234830617905, + "num_tokens": 6639399.0, + "step": 3655 + }, + { + "entropy": 5.943640947341919, + "epoch": 3.144391920928234, + "grad_norm": 1.140625, + "learning_rate": 0.0004340284798916931, + "loss": 5.433, + "mean_token_accuracy": 0.19181231111288072, + "num_tokens": 6649288.0, + "step": 3660 + }, + { + "entropy": 5.898565721511841, + "epoch": 3.1486892995272884, + "grad_norm": 1.03125, + "learning_rate": 0.0004337931013364653, + "loss": 5.3804, + "mean_token_accuracy": 0.19686342626810074, + "num_tokens": 6658670.0, + "step": 3665 + }, + { + "entropy": 5.893218088150024, + "epoch": 3.152986678126343, + "grad_norm": 1.125, + "learning_rate": 0.000433557376040573, + "loss": 5.4538, + "mean_token_accuracy": 0.196715846657753, + "num_tokens": 6667302.0, + "step": 3670 + }, + { + "entropy": 5.956412696838379, + "epoch": 3.1572840567253975, + "grad_norm": 1.09375, + "learning_rate": 0.00043332130451874645, + "loss": 5.4965, + "mean_token_accuracy": 0.1952889919281006, + "num_tokens": 6677393.0, + "step": 3675 + }, + { + "entropy": 5.933012199401856, + "epoch": 3.161581435324452, + "grad_norm": 0.96875, + "learning_rate": 0.00043308488728647127, + "loss": 5.4744, + "mean_token_accuracy": 0.1893087148666382, + "num_tokens": 6686727.0, + "step": 3680 + }, + { + "entropy": 5.877901268005371, + "epoch": 3.1658788139235066, + "grad_norm": 1.1875, + "learning_rate": 0.0004328481248599882, + "loss": 5.3869, + "mean_token_accuracy": 0.19530683755874634, + "num_tokens": 6696116.0, + "step": 3685 + }, + { + "entropy": 5.934775876998901, + "epoch": 3.170176192522561, + "grad_norm": 1.078125, + "learning_rate": 0.0004326110177562918, + "loss": 5.4945, + "mean_token_accuracy": 0.18531183749437333, + "num_tokens": 6704640.0, + "step": 3690 + }, + { + "entropy": 5.860188579559326, + "epoch": 3.1744735711216157, + "grad_norm": 1.2265625, + "learning_rate": 0.00043237356649312926, + "loss": 5.3497, + "mean_token_accuracy": 0.20377567410469055, + "num_tokens": 6713663.0, + "step": 3695 + }, + { + "entropy": 5.891902303695678, + "epoch": 3.17877094972067, + "grad_norm": 1.0703125, + "learning_rate": 0.0004321357715889991, + "loss": 5.4868, + "mean_token_accuracy": 0.18891167342662812, + "num_tokens": 6722965.0, + "step": 3700 + }, + { + "entropy": 5.922307395935059, + "epoch": 3.1830683283197247, + "grad_norm": 1.140625, + "learning_rate": 0.0004318976335631505, + "loss": 5.4553, + "mean_token_accuracy": 0.19657856673002244, + "num_tokens": 6732776.0, + "step": 3705 + }, + { + "entropy": 5.93743257522583, + "epoch": 3.1873657069187797, + "grad_norm": 1.0703125, + "learning_rate": 0.00043165915293558155, + "loss": 5.4328, + "mean_token_accuracy": 0.19283491969108582, + "num_tokens": 6741309.0, + "step": 3710 + }, + { + "entropy": 5.882253980636596, + "epoch": 3.1916630855178343, + "grad_norm": 1.0703125, + "learning_rate": 0.0004314203302270388, + "loss": 5.4972, + "mean_token_accuracy": 0.19080058485269547, + "num_tokens": 6750584.0, + "step": 3715 + }, + { + "entropy": 5.9671601295471195, + "epoch": 3.195960464116889, + "grad_norm": 1.1953125, + "learning_rate": 0.0004311811659590154, + "loss": 5.4717, + "mean_token_accuracy": 0.19037737101316451, + "num_tokens": 6759344.0, + "step": 3720 + }, + { + "entropy": 5.958385229110718, + "epoch": 3.2002578427159434, + "grad_norm": 0.90234375, + "learning_rate": 0.0004309416606537507, + "loss": 5.6122, + "mean_token_accuracy": 0.18305473029613495, + "num_tokens": 6770345.0, + "step": 3725 + }, + { + "entropy": 5.974073982238769, + "epoch": 3.204555221314998, + "grad_norm": 1.1328125, + "learning_rate": 0.00043070181483422843, + "loss": 5.5015, + "mean_token_accuracy": 0.18963303416967392, + "num_tokens": 6779991.0, + "step": 3730 + }, + { + "entropy": 5.910816812515259, + "epoch": 3.2088525999140525, + "grad_norm": 1.1875, + "learning_rate": 0.000430461629024176, + "loss": 5.4509, + "mean_token_accuracy": 0.19442620873451233, + "num_tokens": 6788972.0, + "step": 3735 + }, + { + "entropy": 5.827464151382446, + "epoch": 3.213149978513107, + "grad_norm": 1.203125, + "learning_rate": 0.0004302211037480634, + "loss": 5.3772, + "mean_token_accuracy": 0.19249555021524428, + "num_tokens": 6796967.0, + "step": 3740 + }, + { + "entropy": 5.8557556629180905, + "epoch": 3.2174473571121616, + "grad_norm": 1.2421875, + "learning_rate": 0.0004299802395311015, + "loss": 5.4743, + "mean_token_accuracy": 0.19575096070766448, + "num_tokens": 6805961.0, + "step": 3745 + }, + { + "entropy": 5.86885895729065, + "epoch": 3.221744735711216, + "grad_norm": 1.265625, + "learning_rate": 0.0004297390368992414, + "loss": 5.3787, + "mean_token_accuracy": 0.19657269567251207, + "num_tokens": 6814657.0, + "step": 3750 + }, + { + "entropy": 5.923396444320678, + "epoch": 3.2260421143102707, + "grad_norm": 1.2109375, + "learning_rate": 0.00042949749637917353, + "loss": 5.4168, + "mean_token_accuracy": 0.1941995695233345, + "num_tokens": 6823095.0, + "step": 3755 + }, + { + "entropy": 5.889871215820312, + "epoch": 3.230339492909325, + "grad_norm": 1.0, + "learning_rate": 0.0004292556184983256, + "loss": 5.4421, + "mean_token_accuracy": 0.1958567351102829, + "num_tokens": 6832195.0, + "step": 3760 + }, + { + "entropy": 5.969770717620849, + "epoch": 3.2346368715083798, + "grad_norm": 1.203125, + "learning_rate": 0.0004290134037848623, + "loss": 5.575, + "mean_token_accuracy": 0.1806161344051361, + "num_tokens": 6840922.0, + "step": 3765 + }, + { + "entropy": 5.95328722000122, + "epoch": 3.2389342501074343, + "grad_norm": 1.1953125, + "learning_rate": 0.00042877085276768386, + "loss": 5.4178, + "mean_token_accuracy": 0.20026799887418748, + "num_tokens": 6849182.0, + "step": 3770 + }, + { + "entropy": 5.878392887115479, + "epoch": 3.243231628706489, + "grad_norm": 1.09375, + "learning_rate": 0.00042852796597642455, + "loss": 5.408, + "mean_token_accuracy": 0.19837529808282853, + "num_tokens": 6857932.0, + "step": 3775 + }, + { + "entropy": 5.953036594390869, + "epoch": 3.247529007305544, + "grad_norm": 1.125, + "learning_rate": 0.0004282847439414522, + "loss": 5.5606, + "mean_token_accuracy": 0.18480827659368515, + "num_tokens": 6867283.0, + "step": 3780 + }, + { + "entropy": 5.960994386672974, + "epoch": 3.2518263859045984, + "grad_norm": 1.1015625, + "learning_rate": 0.0004280411871938664, + "loss": 5.5237, + "mean_token_accuracy": 0.18728075176477432, + "num_tokens": 6876123.0, + "step": 3785 + }, + { + "entropy": 5.969729375839234, + "epoch": 3.256123764503653, + "grad_norm": 1.203125, + "learning_rate": 0.0004277972962654979, + "loss": 5.4539, + "mean_token_accuracy": 0.19224015027284622, + "num_tokens": 6885239.0, + "step": 3790 + }, + { + "entropy": 5.8932037353515625, + "epoch": 3.2604211431027075, + "grad_norm": 1.0859375, + "learning_rate": 0.0004275530716889069, + "loss": 5.5146, + "mean_token_accuracy": 0.18382496386766434, + "num_tokens": 6895061.0, + "step": 3795 + }, + { + "entropy": 5.947560358047485, + "epoch": 3.264718521701762, + "grad_norm": 1.234375, + "learning_rate": 0.0004273085139973822, + "loss": 5.5657, + "mean_token_accuracy": 0.1781401515007019, + "num_tokens": 6903828.0, + "step": 3800 + }, + { + "entropy": 5.989862442016602, + "epoch": 3.2690159003008166, + "grad_norm": 1.1484375, + "learning_rate": 0.0004270636237249401, + "loss": 5.4777, + "mean_token_accuracy": 0.18864577561616896, + "num_tokens": 6912805.0, + "step": 3805 + }, + { + "entropy": 5.920726633071899, + "epoch": 3.273313278899871, + "grad_norm": 1.1328125, + "learning_rate": 0.00042681840140632314, + "loss": 5.5243, + "mean_token_accuracy": 0.18295771330595018, + "num_tokens": 6922165.0, + "step": 3810 + }, + { + "entropy": 5.956135368347168, + "epoch": 3.2776106574989257, + "grad_norm": 1.0859375, + "learning_rate": 0.0004265728475769989, + "loss": 5.4939, + "mean_token_accuracy": 0.1879052475094795, + "num_tokens": 6931677.0, + "step": 3815 + }, + { + "entropy": 5.918879604339599, + "epoch": 3.28190803609798, + "grad_norm": 1.0078125, + "learning_rate": 0.0004263269627731586, + "loss": 5.452, + "mean_token_accuracy": 0.192815600335598, + "num_tokens": 6940486.0, + "step": 3820 + }, + { + "entropy": 5.825883960723877, + "epoch": 3.2862054146970348, + "grad_norm": 1.125, + "learning_rate": 0.0004260807475317164, + "loss": 5.4745, + "mean_token_accuracy": 0.18577916026115418, + "num_tokens": 6948990.0, + "step": 3825 + }, + { + "entropy": 5.979638195037841, + "epoch": 3.2905027932960893, + "grad_norm": 1.0234375, + "learning_rate": 0.0004258342023903081, + "loss": 5.5953, + "mean_token_accuracy": 0.18115273416042327, + "num_tokens": 6959311.0, + "step": 3830 + }, + { + "entropy": 5.957726049423218, + "epoch": 3.294800171895144, + "grad_norm": 1.125, + "learning_rate": 0.00042558732788728975, + "loss": 5.3649, + "mean_token_accuracy": 0.20235307216644288, + "num_tokens": 6968619.0, + "step": 3835 + }, + { + "entropy": 5.867683029174804, + "epoch": 3.2990975504941984, + "grad_norm": 1.109375, + "learning_rate": 0.00042534012456173643, + "loss": 5.4398, + "mean_token_accuracy": 0.1914222314953804, + "num_tokens": 6977469.0, + "step": 3840 + }, + { + "entropy": 5.841017484664917, + "epoch": 3.303394929093253, + "grad_norm": 1.2578125, + "learning_rate": 0.00042509259295344157, + "loss": 5.4285, + "mean_token_accuracy": 0.18821925073862075, + "num_tokens": 6986772.0, + "step": 3845 + }, + { + "entropy": 5.910496807098388, + "epoch": 3.3076923076923075, + "grad_norm": 1.265625, + "learning_rate": 0.00042484473360291514, + "loss": 5.4393, + "mean_token_accuracy": 0.19060401618480682, + "num_tokens": 6993937.0, + "step": 3850 + }, + { + "entropy": 5.86693377494812, + "epoch": 3.311989686291362, + "grad_norm": 1.15625, + "learning_rate": 0.00042459654705138294, + "loss": 5.497, + "mean_token_accuracy": 0.19289185404777526, + "num_tokens": 7003222.0, + "step": 3855 + }, + { + "entropy": 5.9119508266448975, + "epoch": 3.316287064890417, + "grad_norm": 1.125, + "learning_rate": 0.0004243480338407853, + "loss": 5.4532, + "mean_token_accuracy": 0.19899186342954636, + "num_tokens": 7012055.0, + "step": 3860 + }, + { + "entropy": 5.892843008041382, + "epoch": 3.3205844434894716, + "grad_norm": 1.109375, + "learning_rate": 0.0004240991945137755, + "loss": 5.4592, + "mean_token_accuracy": 0.19213219434022905, + "num_tokens": 7021036.0, + "step": 3865 + }, + { + "entropy": 5.882801103591919, + "epoch": 3.324881822088526, + "grad_norm": 1.15625, + "learning_rate": 0.00042385002961371944, + "loss": 5.4441, + "mean_token_accuracy": 0.19504359364509583, + "num_tokens": 7030450.0, + "step": 3870 + }, + { + "entropy": 5.978818750381469, + "epoch": 3.3291792006875807, + "grad_norm": 1.1875, + "learning_rate": 0.0004236005396846935, + "loss": 5.5439, + "mean_token_accuracy": 0.1879236653447151, + "num_tokens": 7039740.0, + "step": 3875 + }, + { + "entropy": 5.946993112564087, + "epoch": 3.333476579286635, + "grad_norm": 1.15625, + "learning_rate": 0.00042335072527148406, + "loss": 5.5256, + "mean_token_accuracy": 0.19050987511873246, + "num_tokens": 7050430.0, + "step": 3880 + }, + { + "entropy": 5.85164065361023, + "epoch": 3.3377739578856898, + "grad_norm": 1.28125, + "learning_rate": 0.0004231005869195859, + "loss": 5.5069, + "mean_token_accuracy": 0.18632889091968535, + "num_tokens": 7059477.0, + "step": 3885 + }, + { + "entropy": 5.922405767440796, + "epoch": 3.3420713364847443, + "grad_norm": 1.4921875, + "learning_rate": 0.0004228501251752011, + "loss": 5.4601, + "mean_token_accuracy": 0.1952619045972824, + "num_tokens": 7067805.0, + "step": 3890 + }, + { + "entropy": 5.881201887130738, + "epoch": 3.346368715083799, + "grad_norm": 1.1171875, + "learning_rate": 0.00042259934058523814, + "loss": 5.46, + "mean_token_accuracy": 0.18905477821826935, + "num_tokens": 7077606.0, + "step": 3895 + }, + { + "entropy": 5.918180227279663, + "epoch": 3.3506660936828534, + "grad_norm": 1.171875, + "learning_rate": 0.00042234823369731027, + "loss": 5.4043, + "mean_token_accuracy": 0.1953267216682434, + "num_tokens": 7085647.0, + "step": 3900 + }, + { + "entropy": 5.835781908035278, + "epoch": 3.354963472281908, + "grad_norm": 1.140625, + "learning_rate": 0.00042209680505973465, + "loss": 5.449, + "mean_token_accuracy": 0.1939581647515297, + "num_tokens": 7095298.0, + "step": 3905 + }, + { + "entropy": 5.841428470611572, + "epoch": 3.3592608508809625, + "grad_norm": 1.0625, + "learning_rate": 0.0004218450552215308, + "loss": 5.5157, + "mean_token_accuracy": 0.194383442401886, + "num_tokens": 7105207.0, + "step": 3910 + }, + { + "entropy": 5.941448974609375, + "epoch": 3.363558229480017, + "grad_norm": 1.0546875, + "learning_rate": 0.0004215929847324199, + "loss": 5.5708, + "mean_token_accuracy": 0.18115754574537277, + "num_tokens": 7114833.0, + "step": 3915 + }, + { + "entropy": 5.963439035415649, + "epoch": 3.3678556080790716, + "grad_norm": 1.171875, + "learning_rate": 0.000421340594142823, + "loss": 5.3787, + "mean_token_accuracy": 0.19882705360651015, + "num_tokens": 7123608.0, + "step": 3920 + }, + { + "entropy": 5.8740808963775635, + "epoch": 3.3721529866781266, + "grad_norm": 1.21875, + "learning_rate": 0.00042108788400386035, + "loss": 5.4499, + "mean_token_accuracy": 0.19346580952405928, + "num_tokens": 7132250.0, + "step": 3925 + }, + { + "entropy": 5.880605030059814, + "epoch": 3.376450365277181, + "grad_norm": 0.98046875, + "learning_rate": 0.0004208348548673498, + "loss": 5.5399, + "mean_token_accuracy": 0.19135694503784179, + "num_tokens": 7142086.0, + "step": 3930 + }, + { + "entropy": 5.951083946228027, + "epoch": 3.3807477438762357, + "grad_norm": 1.1484375, + "learning_rate": 0.000420581507285806, + "loss": 5.4858, + "mean_token_accuracy": 0.1825383946299553, + "num_tokens": 7152434.0, + "step": 3935 + }, + { + "entropy": 5.82304835319519, + "epoch": 3.38504512247529, + "grad_norm": 1.0703125, + "learning_rate": 0.0004203278418124386, + "loss": 5.419, + "mean_token_accuracy": 0.19977713227272034, + "num_tokens": 7163041.0, + "step": 3940 + }, + { + "entropy": 5.829355192184448, + "epoch": 3.3893425010743448, + "grad_norm": 1.046875, + "learning_rate": 0.0004200738590011518, + "loss": 5.4173, + "mean_token_accuracy": 0.19818853884935378, + "num_tokens": 7171875.0, + "step": 3945 + }, + { + "entropy": 5.888874340057373, + "epoch": 3.3936398796733993, + "grad_norm": 1.1796875, + "learning_rate": 0.00041981955940654245, + "loss": 5.5242, + "mean_token_accuracy": 0.1952082931995392, + "num_tokens": 7180803.0, + "step": 3950 + }, + { + "entropy": 5.918650579452515, + "epoch": 3.397937258272454, + "grad_norm": 1.140625, + "learning_rate": 0.0004195649435838992, + "loss": 5.5527, + "mean_token_accuracy": 0.17839486598968507, + "num_tokens": 7190661.0, + "step": 3955 + }, + { + "entropy": 5.824749708175659, + "epoch": 3.4022346368715084, + "grad_norm": 1.109375, + "learning_rate": 0.0004193100120892013, + "loss": 5.3825, + "mean_token_accuracy": 0.20471955984830856, + "num_tokens": 7199357.0, + "step": 3960 + }, + { + "entropy": 5.87763524055481, + "epoch": 3.406532015470563, + "grad_norm": 1.015625, + "learning_rate": 0.0004190547654791172, + "loss": 5.5507, + "mean_token_accuracy": 0.18516142815351486, + "num_tokens": 7209856.0, + "step": 3965 + }, + { + "entropy": 5.960424184799194, + "epoch": 3.4108293940696175, + "grad_norm": 1.2578125, + "learning_rate": 0.00041879920431100347, + "loss": 5.5182, + "mean_token_accuracy": 0.18072724491357803, + "num_tokens": 7218778.0, + "step": 3970 + }, + { + "entropy": 5.929759693145752, + "epoch": 3.415126772668672, + "grad_norm": 1.1328125, + "learning_rate": 0.0004185433291429036, + "loss": 5.5383, + "mean_token_accuracy": 0.19149455428123474, + "num_tokens": 7228442.0, + "step": 3975 + }, + { + "entropy": 5.9323328018188475, + "epoch": 3.4194241512677266, + "grad_norm": 1.171875, + "learning_rate": 0.00041828714053354665, + "loss": 5.5232, + "mean_token_accuracy": 0.18421948850154876, + "num_tokens": 7238724.0, + "step": 3980 + }, + { + "entropy": 5.825714445114135, + "epoch": 3.423721529866781, + "grad_norm": 1.09375, + "learning_rate": 0.0004180306390423462, + "loss": 5.48, + "mean_token_accuracy": 0.19667282402515412, + "num_tokens": 7247844.0, + "step": 3985 + }, + { + "entropy": 5.873914575576782, + "epoch": 3.4280189084658357, + "grad_norm": 1.078125, + "learning_rate": 0.00041777382522939884, + "loss": 5.5471, + "mean_token_accuracy": 0.18860624134540557, + "num_tokens": 7257260.0, + "step": 3990 + }, + { + "entropy": 5.9357811450958256, + "epoch": 3.4323162870648902, + "grad_norm": 1.0078125, + "learning_rate": 0.00041751669965548344, + "loss": 5.5448, + "mean_token_accuracy": 0.18522292822599412, + "num_tokens": 7266890.0, + "step": 3995 + }, + { + "entropy": 5.9294140338897705, + "epoch": 3.4366136656639448, + "grad_norm": 1.171875, + "learning_rate": 0.00041725926288205945, + "loss": 5.5664, + "mean_token_accuracy": 0.18018038868904113, + "num_tokens": 7276114.0, + "step": 4000 + }, + { + "epoch": 3.4366136656639448, + "eval_entropy": 5.70672602589066, + "eval_loss": 5.984828472137451, + "eval_mean_token_accuracy": 0.17211216785483532, + "eval_num_tokens": 7276114.0, + "eval_runtime": 2.0584, + "eval_samples_per_second": 1724.118, + "eval_steps_per_second": 215.697, + "step": 4000 + }, + { + "entropy": 5.962442874908447, + "epoch": 3.4409110442629998, + "grad_norm": 1.0859375, + "learning_rate": 0.0004170015154712658, + "loss": 5.5069, + "mean_token_accuracy": 0.1916913628578186, + "num_tokens": 7284426.0, + "step": 4005 + }, + { + "entropy": 5.903675699234009, + "epoch": 3.4452084228620543, + "grad_norm": 1.03125, + "learning_rate": 0.00041674345798591993, + "loss": 5.5421, + "mean_token_accuracy": 0.18398448526859285, + "num_tokens": 7294813.0, + "step": 4010 + }, + { + "entropy": 5.9148882865905765, + "epoch": 3.449505801461109, + "grad_norm": 1.0703125, + "learning_rate": 0.0004164850909895161, + "loss": 5.5258, + "mean_token_accuracy": 0.19086309522390366, + "num_tokens": 7304655.0, + "step": 4015 + }, + { + "entropy": 5.865190315246582, + "epoch": 3.4538031800601634, + "grad_norm": 0.9921875, + "learning_rate": 0.0004162264150462247, + "loss": 5.4786, + "mean_token_accuracy": 0.19230384528636932, + "num_tokens": 7313610.0, + "step": 4020 + }, + { + "entropy": 5.979327869415283, + "epoch": 3.458100558659218, + "grad_norm": 1.109375, + "learning_rate": 0.00041596743072089065, + "loss": 5.5052, + "mean_token_accuracy": 0.1926753893494606, + "num_tokens": 7322243.0, + "step": 4025 + }, + { + "entropy": 6.007712459564209, + "epoch": 3.4623979372582725, + "grad_norm": 1.21875, + "learning_rate": 0.000415708138579032, + "loss": 5.4902, + "mean_token_accuracy": 0.18262085914611817, + "num_tokens": 7331040.0, + "step": 4030 + }, + { + "entropy": 5.855608510971069, + "epoch": 3.466695315857327, + "grad_norm": 1.1015625, + "learning_rate": 0.00041544853918683923, + "loss": 5.5494, + "mean_token_accuracy": 0.18672456443309784, + "num_tokens": 7340771.0, + "step": 4035 + }, + { + "entropy": 5.890000200271606, + "epoch": 3.4709926944563816, + "grad_norm": 1.09375, + "learning_rate": 0.0004151886331111737, + "loss": 5.6055, + "mean_token_accuracy": 0.18518777936697006, + "num_tokens": 7349960.0, + "step": 4040 + }, + { + "entropy": 5.848879432678222, + "epoch": 3.475290073055436, + "grad_norm": 1.203125, + "learning_rate": 0.00041492842091956646, + "loss": 5.4391, + "mean_token_accuracy": 0.19307579845190048, + "num_tokens": 7357983.0, + "step": 4045 + }, + { + "entropy": 5.976620149612427, + "epoch": 3.4795874516544907, + "grad_norm": 1.109375, + "learning_rate": 0.0004146679031802167, + "loss": 5.5438, + "mean_token_accuracy": 0.19301331490278245, + "num_tokens": 7366814.0, + "step": 4050 + }, + { + "entropy": 5.923441648483276, + "epoch": 3.4838848302535452, + "grad_norm": 1.203125, + "learning_rate": 0.00041440708046199123, + "loss": 5.4161, + "mean_token_accuracy": 0.19995936155319213, + "num_tokens": 7374773.0, + "step": 4055 + }, + { + "entropy": 5.836741638183594, + "epoch": 3.4881822088525998, + "grad_norm": 1.0625, + "learning_rate": 0.0004141459533344226, + "loss": 5.5224, + "mean_token_accuracy": 0.1920263037085533, + "num_tokens": 7383937.0, + "step": 4060 + }, + { + "entropy": 5.9110997200012205, + "epoch": 3.4924795874516543, + "grad_norm": 1.0859375, + "learning_rate": 0.00041388452236770795, + "loss": 5.4846, + "mean_token_accuracy": 0.1872958168387413, + "num_tokens": 7392577.0, + "step": 4065 + }, + { + "entropy": 5.911495304107666, + "epoch": 3.4967769660507093, + "grad_norm": 1.1171875, + "learning_rate": 0.00041362278813270823, + "loss": 5.375, + "mean_token_accuracy": 0.2082198366522789, + "num_tokens": 7401473.0, + "step": 4070 + }, + { + "entropy": 5.924019622802734, + "epoch": 3.501074344649764, + "grad_norm": 1.046875, + "learning_rate": 0.00041336075120094616, + "loss": 5.5843, + "mean_token_accuracy": 0.17396451085805892, + "num_tokens": 7410831.0, + "step": 4075 + }, + { + "entropy": 5.966419315338134, + "epoch": 3.5053717232488184, + "grad_norm": 1.0546875, + "learning_rate": 0.00041309841214460586, + "loss": 5.564, + "mean_token_accuracy": 0.18492306172847747, + "num_tokens": 7421563.0, + "step": 4080 + }, + { + "entropy": 5.853989505767823, + "epoch": 3.509669101847873, + "grad_norm": 1.140625, + "learning_rate": 0.0004128357715365309, + "loss": 5.4952, + "mean_token_accuracy": 0.1896917328238487, + "num_tokens": 7430174.0, + "step": 4085 + }, + { + "entropy": 5.8695268630981445, + "epoch": 3.5139664804469275, + "grad_norm": 1.0859375, + "learning_rate": 0.00041257282995022345, + "loss": 5.4708, + "mean_token_accuracy": 0.19776251018047333, + "num_tokens": 7439034.0, + "step": 4090 + }, + { + "entropy": 5.86503415107727, + "epoch": 3.518263859045982, + "grad_norm": 1.3359375, + "learning_rate": 0.0004123095879598426, + "loss": 5.4624, + "mean_token_accuracy": 0.18698047548532487, + "num_tokens": 7447663.0, + "step": 4095 + }, + { + "entropy": 5.907058811187744, + "epoch": 3.5225612376450366, + "grad_norm": 1.09375, + "learning_rate": 0.00041204604614020397, + "loss": 5.5695, + "mean_token_accuracy": 0.1786721721291542, + "num_tokens": 7456615.0, + "step": 4100 + }, + { + "entropy": 5.957714653015136, + "epoch": 3.526858616244091, + "grad_norm": 1.09375, + "learning_rate": 0.0004117822050667773, + "loss": 5.5844, + "mean_token_accuracy": 0.18617163747549056, + "num_tokens": 7466203.0, + "step": 4105 + }, + { + "entropy": 5.950328683853149, + "epoch": 3.5311559948431457, + "grad_norm": 1.1171875, + "learning_rate": 0.00041151806531568617, + "loss": 5.5417, + "mean_token_accuracy": 0.18721332550048828, + "num_tokens": 7475411.0, + "step": 4110 + }, + { + "entropy": 5.8657652854919435, + "epoch": 3.5354533734422002, + "grad_norm": 1.0625, + "learning_rate": 0.00041125362746370625, + "loss": 5.5615, + "mean_token_accuracy": 0.1827959179878235, + "num_tokens": 7484965.0, + "step": 4115 + }, + { + "entropy": 5.972699880599976, + "epoch": 3.5397507520412548, + "grad_norm": 1.109375, + "learning_rate": 0.0004109888920882639, + "loss": 5.4911, + "mean_token_accuracy": 0.1917601242661476, + "num_tokens": 7494240.0, + "step": 4120 + }, + { + "entropy": 5.875241994857788, + "epoch": 3.5440481306403093, + "grad_norm": 1.078125, + "learning_rate": 0.0004107238597674356, + "loss": 5.5254, + "mean_token_accuracy": 0.18883996307849885, + "num_tokens": 7503560.0, + "step": 4125 + }, + { + "entropy": 5.829753732681274, + "epoch": 3.548345509239364, + "grad_norm": 1.0078125, + "learning_rate": 0.000410458531079946, + "loss": 5.4368, + "mean_token_accuracy": 0.19843829721212386, + "num_tokens": 7512650.0, + "step": 4130 + }, + { + "entropy": 5.936978960037232, + "epoch": 3.5526428878384184, + "grad_norm": 1.1640625, + "learning_rate": 0.0004101929066051668, + "loss": 5.5485, + "mean_token_accuracy": 0.18788963854312896, + "num_tokens": 7521864.0, + "step": 4135 + }, + { + "entropy": 5.8465251445770265, + "epoch": 3.556940266437473, + "grad_norm": 1.09375, + "learning_rate": 0.0004099269869231157, + "loss": 5.4556, + "mean_token_accuracy": 0.19057717472314833, + "num_tokens": 7531013.0, + "step": 4140 + }, + { + "entropy": 5.880660581588745, + "epoch": 3.5612376450365275, + "grad_norm": 1.046875, + "learning_rate": 0.00040966077261445495, + "loss": 5.4713, + "mean_token_accuracy": 0.18294108659029007, + "num_tokens": 7539959.0, + "step": 4145 + }, + { + "entropy": 5.955602645874023, + "epoch": 3.565535023635582, + "grad_norm": 1.2890625, + "learning_rate": 0.0004093942642604904, + "loss": 5.4437, + "mean_token_accuracy": 0.19040033966302872, + "num_tokens": 7548354.0, + "step": 4150 + }, + { + "entropy": 5.910123491287232, + "epoch": 3.5698324022346366, + "grad_norm": 1.0625, + "learning_rate": 0.00040912746244316944, + "loss": 5.5755, + "mean_token_accuracy": 0.18532428592443467, + "num_tokens": 7558321.0, + "step": 4155 + }, + { + "entropy": 5.8719439029693605, + "epoch": 3.5741297808336916, + "grad_norm": 1.0546875, + "learning_rate": 0.00040886036774508095, + "loss": 5.4582, + "mean_token_accuracy": 0.1960417792201042, + "num_tokens": 7567889.0, + "step": 4160 + }, + { + "entropy": 5.915447568893432, + "epoch": 3.578427159432746, + "grad_norm": 1.0859375, + "learning_rate": 0.0004085929807494527, + "loss": 5.5055, + "mean_token_accuracy": 0.18908539414405823, + "num_tokens": 7576752.0, + "step": 4165 + }, + { + "entropy": 5.8521651268005375, + "epoch": 3.5827245380318007, + "grad_norm": 1.0390625, + "learning_rate": 0.0004083253020401512, + "loss": 5.4099, + "mean_token_accuracy": 0.19865455478429794, + "num_tokens": 7585413.0, + "step": 4170 + }, + { + "entropy": 5.876428270339966, + "epoch": 3.5870219166308552, + "grad_norm": 1.21875, + "learning_rate": 0.0004080573322016797, + "loss": 5.3779, + "mean_token_accuracy": 0.19813554286956786, + "num_tokens": 7593966.0, + "step": 4175 + }, + { + "entropy": 5.881918239593506, + "epoch": 3.59131929522991, + "grad_norm": 1.1015625, + "learning_rate": 0.0004077890718191773, + "loss": 5.3964, + "mean_token_accuracy": 0.19273053705692292, + "num_tokens": 7602746.0, + "step": 4180 + }, + { + "entropy": 5.8412984848022464, + "epoch": 3.5956166738289643, + "grad_norm": 1.1953125, + "learning_rate": 0.00040752052147841733, + "loss": 5.4458, + "mean_token_accuracy": 0.19012261629104615, + "num_tokens": 7611245.0, + "step": 4185 + }, + { + "entropy": 5.8679516315460205, + "epoch": 3.599914052428019, + "grad_norm": 1.03125, + "learning_rate": 0.0004072516817658065, + "loss": 5.4644, + "mean_token_accuracy": 0.19320045709609984, + "num_tokens": 7620234.0, + "step": 4190 + }, + { + "entropy": 5.896762943267822, + "epoch": 3.6042114310270734, + "grad_norm": 1.140625, + "learning_rate": 0.0004069825532683831, + "loss": 5.4977, + "mean_token_accuracy": 0.1906106486916542, + "num_tokens": 7629794.0, + "step": 4195 + }, + { + "entropy": 5.841946125030518, + "epoch": 3.608508809626128, + "grad_norm": 1.0625, + "learning_rate": 0.00040671313657381645, + "loss": 5.4439, + "mean_token_accuracy": 0.1994246259331703, + "num_tokens": 7639497.0, + "step": 4200 + }, + { + "entropy": 5.814431810379029, + "epoch": 3.6128061882251825, + "grad_norm": 1.0859375, + "learning_rate": 0.00040644343227040473, + "loss": 5.3911, + "mean_token_accuracy": 0.19411042034626008, + "num_tokens": 7647647.0, + "step": 4205 + }, + { + "entropy": 5.854738044738769, + "epoch": 3.617103566824237, + "grad_norm": 1.0390625, + "learning_rate": 0.0004061734409470745, + "loss": 5.5712, + "mean_token_accuracy": 0.1941414475440979, + "num_tokens": 7657988.0, + "step": 4210 + }, + { + "entropy": 5.920310211181641, + "epoch": 3.621400945423292, + "grad_norm": 1.09375, + "learning_rate": 0.0004059031631933788, + "loss": 5.4762, + "mean_token_accuracy": 0.1912338137626648, + "num_tokens": 7667498.0, + "step": 4215 + }, + { + "entropy": 5.906491374969482, + "epoch": 3.6256983240223466, + "grad_norm": 1.0703125, + "learning_rate": 0.00040563259959949615, + "loss": 5.6174, + "mean_token_accuracy": 0.18079061657190323, + "num_tokens": 7677386.0, + "step": 4220 + }, + { + "entropy": 5.96941728591919, + "epoch": 3.629995702621401, + "grad_norm": 1.0703125, + "learning_rate": 0.0004053617507562295, + "loss": 5.4659, + "mean_token_accuracy": 0.18902975618839263, + "num_tokens": 7686643.0, + "step": 4225 + }, + { + "entropy": 5.910523223876953, + "epoch": 3.6342930812204557, + "grad_norm": 1.25, + "learning_rate": 0.00040509061725500426, + "loss": 5.4904, + "mean_token_accuracy": 0.18905052542686462, + "num_tokens": 7695089.0, + "step": 4230 + }, + { + "entropy": 5.792887115478516, + "epoch": 3.6385904598195102, + "grad_norm": 1.1015625, + "learning_rate": 0.0004048191996878677, + "loss": 5.4783, + "mean_token_accuracy": 0.19112255573272705, + "num_tokens": 7703854.0, + "step": 4235 + }, + { + "entropy": 5.852434682846069, + "epoch": 3.642887838418565, + "grad_norm": 1.1015625, + "learning_rate": 0.00040454749864748734, + "loss": 5.4171, + "mean_token_accuracy": 0.19455593526363374, + "num_tokens": 7712903.0, + "step": 4240 + }, + { + "entropy": 5.880266714096069, + "epoch": 3.6471852170176193, + "grad_norm": 0.9921875, + "learning_rate": 0.0004042755147271496, + "loss": 5.3654, + "mean_token_accuracy": 0.1971506655216217, + "num_tokens": 7721701.0, + "step": 4245 + }, + { + "entropy": 5.74291033744812, + "epoch": 3.651482595616674, + "grad_norm": 1.0, + "learning_rate": 0.0004040032485207587, + "loss": 5.4819, + "mean_token_accuracy": 0.19151000380516053, + "num_tokens": 7731318.0, + "step": 4250 + }, + { + "entropy": 5.879048299789429, + "epoch": 3.6557799742157284, + "grad_norm": 1.03125, + "learning_rate": 0.0004037307006228352, + "loss": 5.4148, + "mean_token_accuracy": 0.1946114867925644, + "num_tokens": 7740413.0, + "step": 4255 + }, + { + "entropy": 5.858242034912109, + "epoch": 3.660077352814783, + "grad_norm": 1.09375, + "learning_rate": 0.0004034578716285147, + "loss": 5.3943, + "mean_token_accuracy": 0.1999268651008606, + "num_tokens": 7749054.0, + "step": 4260 + }, + { + "entropy": 5.81954345703125, + "epoch": 3.6643747314138375, + "grad_norm": 1.2265625, + "learning_rate": 0.0004031847621335467, + "loss": 5.4168, + "mean_token_accuracy": 0.19938697069883346, + "num_tokens": 7757366.0, + "step": 4265 + }, + { + "entropy": 5.823007678985595, + "epoch": 3.668672110012892, + "grad_norm": 1.265625, + "learning_rate": 0.0004029113727342933, + "loss": 5.4638, + "mean_token_accuracy": 0.19210753887891768, + "num_tokens": 7766471.0, + "step": 4270 + }, + { + "entropy": 5.830737972259522, + "epoch": 3.6729694886119466, + "grad_norm": 1.125, + "learning_rate": 0.00040263770402772746, + "loss": 5.4476, + "mean_token_accuracy": 0.19209140986204148, + "num_tokens": 7775920.0, + "step": 4275 + }, + { + "entropy": 5.9193565368652346, + "epoch": 3.677266867211001, + "grad_norm": 1.2421875, + "learning_rate": 0.0004023637566114325, + "loss": 5.4879, + "mean_token_accuracy": 0.19063451737165452, + "num_tokens": 7784530.0, + "step": 4280 + }, + { + "entropy": 5.880253267288208, + "epoch": 3.6815642458100557, + "grad_norm": 1.125, + "learning_rate": 0.0004020895310835999, + "loss": 5.4425, + "mean_token_accuracy": 0.19116731137037277, + "num_tokens": 7793656.0, + "step": 4285 + }, + { + "entropy": 5.858336305618286, + "epoch": 3.6858616244091102, + "grad_norm": 1.046875, + "learning_rate": 0.00040181502804302865, + "loss": 5.4694, + "mean_token_accuracy": 0.18451076596975327, + "num_tokens": 7802185.0, + "step": 4290 + }, + { + "entropy": 5.848211097717285, + "epoch": 3.690159003008165, + "grad_norm": 1.171875, + "learning_rate": 0.00040154024808912377, + "loss": 5.4419, + "mean_token_accuracy": 0.19738092869520188, + "num_tokens": 7810345.0, + "step": 4295 + }, + { + "entropy": 5.858597469329834, + "epoch": 3.6944563816072193, + "grad_norm": 1.171875, + "learning_rate": 0.0004012651918218947, + "loss": 5.5014, + "mean_token_accuracy": 0.1863890826702118, + "num_tokens": 7818998.0, + "step": 4300 + }, + { + "entropy": 5.930095386505127, + "epoch": 3.6987537602062743, + "grad_norm": 1.078125, + "learning_rate": 0.0004009898598419544, + "loss": 5.6082, + "mean_token_accuracy": 0.17587608397006987, + "num_tokens": 7828638.0, + "step": 4305 + }, + { + "entropy": 5.931398916244507, + "epoch": 3.703051138805329, + "grad_norm": 1.1796875, + "learning_rate": 0.000400714252750518, + "loss": 5.5731, + "mean_token_accuracy": 0.1824898198246956, + "num_tokens": 7838812.0, + "step": 4310 + }, + { + "entropy": 5.920556163787841, + "epoch": 3.7073485174043834, + "grad_norm": 1.125, + "learning_rate": 0.0004004383711494011, + "loss": 5.4985, + "mean_token_accuracy": 0.19454227834939958, + "num_tokens": 7847458.0, + "step": 4315 + }, + { + "entropy": 5.90432448387146, + "epoch": 3.711645896003438, + "grad_norm": 1.0546875, + "learning_rate": 0.0004001622156410189, + "loss": 5.5137, + "mean_token_accuracy": 0.1859744668006897, + "num_tokens": 7856553.0, + "step": 4320 + }, + { + "entropy": 5.838715839385986, + "epoch": 3.7159432746024925, + "grad_norm": 1.0859375, + "learning_rate": 0.00039988578682838467, + "loss": 5.4568, + "mean_token_accuracy": 0.19485563039779663, + "num_tokens": 7864788.0, + "step": 4325 + }, + { + "entropy": 5.868589687347412, + "epoch": 3.720240653201547, + "grad_norm": 1.0546875, + "learning_rate": 0.00039960908531510843, + "loss": 5.4424, + "mean_token_accuracy": 0.1948522835969925, + "num_tokens": 7873850.0, + "step": 4330 + }, + { + "entropy": 5.923116254806518, + "epoch": 3.7245380318006016, + "grad_norm": 1.1484375, + "learning_rate": 0.0003993321117053956, + "loss": 5.5762, + "mean_token_accuracy": 0.18173539787530898, + "num_tokens": 7882775.0, + "step": 4335 + }, + { + "entropy": 5.944538116455078, + "epoch": 3.728835410399656, + "grad_norm": 1.140625, + "learning_rate": 0.00039905486660404604, + "loss": 5.4952, + "mean_token_accuracy": 0.18034075796604157, + "num_tokens": 7890570.0, + "step": 4340 + }, + { + "entropy": 5.816492652893066, + "epoch": 3.7331327889987107, + "grad_norm": 1.015625, + "learning_rate": 0.00039877735061645206, + "loss": 5.4642, + "mean_token_accuracy": 0.20065016895532609, + "num_tokens": 7900090.0, + "step": 4345 + }, + { + "entropy": 5.899166393280029, + "epoch": 3.7374301675977653, + "grad_norm": 1.1875, + "learning_rate": 0.0003984995643485977, + "loss": 5.5033, + "mean_token_accuracy": 0.18698994666337967, + "num_tokens": 7908077.0, + "step": 4350 + }, + { + "entropy": 5.927290630340576, + "epoch": 3.74172754619682, + "grad_norm": 1.4609375, + "learning_rate": 0.00039822150840705716, + "loss": 5.507, + "mean_token_accuracy": 0.190550497174263, + "num_tokens": 7916290.0, + "step": 4355 + }, + { + "entropy": 5.962394952774048, + "epoch": 3.746024924795875, + "grad_norm": 1.15625, + "learning_rate": 0.00039794318339899347, + "loss": 5.5781, + "mean_token_accuracy": 0.1866394594311714, + "num_tokens": 7925835.0, + "step": 4360 + }, + { + "entropy": 5.942964267730713, + "epoch": 3.7503223033949293, + "grad_norm": 1.0625, + "learning_rate": 0.00039766458993215726, + "loss": 5.5424, + "mean_token_accuracy": 0.18485690355300904, + "num_tokens": 7935076.0, + "step": 4365 + }, + { + "entropy": 5.8386486053466795, + "epoch": 3.754619681993984, + "grad_norm": 1.0703125, + "learning_rate": 0.00039738572861488527, + "loss": 5.4601, + "mean_token_accuracy": 0.1967233255505562, + "num_tokens": 7943958.0, + "step": 4370 + }, + { + "entropy": 5.8420368194580075, + "epoch": 3.7589170605930384, + "grad_norm": 1.0390625, + "learning_rate": 0.000397106600056099, + "loss": 5.4924, + "mean_token_accuracy": 0.1886660173535347, + "num_tokens": 7953189.0, + "step": 4375 + }, + { + "entropy": 5.824497079849243, + "epoch": 3.763214439192093, + "grad_norm": 0.99609375, + "learning_rate": 0.0003968272048653039, + "loss": 5.3941, + "mean_token_accuracy": 0.20391580015420913, + "num_tokens": 7962927.0, + "step": 4380 + }, + { + "entropy": 5.778334474563598, + "epoch": 3.7675118177911475, + "grad_norm": 1.0390625, + "learning_rate": 0.0003965475436525873, + "loss": 5.4282, + "mean_token_accuracy": 0.19804799407720566, + "num_tokens": 7973087.0, + "step": 4385 + }, + { + "entropy": 5.8292381286621096, + "epoch": 3.771809196390202, + "grad_norm": 1.0234375, + "learning_rate": 0.0003962676170286174, + "loss": 5.4011, + "mean_token_accuracy": 0.19533102959394455, + "num_tokens": 7982535.0, + "step": 4390 + }, + { + "entropy": 5.918207216262817, + "epoch": 3.7761065749892566, + "grad_norm": 1.171875, + "learning_rate": 0.00039598742560464223, + "loss": 5.465, + "mean_token_accuracy": 0.19849387407302857, + "num_tokens": 7990740.0, + "step": 4395 + }, + { + "entropy": 5.974913454055786, + "epoch": 3.780403953588311, + "grad_norm": 1.2421875, + "learning_rate": 0.0003957069699924877, + "loss": 5.4715, + "mean_token_accuracy": 0.18468343317508698, + "num_tokens": 7999349.0, + "step": 4400 + }, + { + "entropy": 5.8590610980987545, + "epoch": 3.7847013321873657, + "grad_norm": 1.1015625, + "learning_rate": 0.000395426250804557, + "loss": 5.4678, + "mean_token_accuracy": 0.20066145956516265, + "num_tokens": 8007615.0, + "step": 4405 + }, + { + "entropy": 5.851322650909424, + "epoch": 3.7889987107864203, + "grad_norm": 1.0390625, + "learning_rate": 0.00039514526865382847, + "loss": 5.4643, + "mean_token_accuracy": 0.19499933123588561, + "num_tokens": 8017545.0, + "step": 4410 + }, + { + "entropy": 5.874475526809692, + "epoch": 3.793296089385475, + "grad_norm": 1.1875, + "learning_rate": 0.0003948640241538548, + "loss": 5.3969, + "mean_token_accuracy": 0.1957339271903038, + "num_tokens": 8026381.0, + "step": 4415 + }, + { + "entropy": 5.874440097808838, + "epoch": 3.7975934679845293, + "grad_norm": 1.390625, + "learning_rate": 0.0003945825179187617, + "loss": 5.5045, + "mean_token_accuracy": 0.18969615548849106, + "num_tokens": 8034745.0, + "step": 4420 + }, + { + "entropy": 5.89657678604126, + "epoch": 3.801890846583584, + "grad_norm": 1.234375, + "learning_rate": 0.00039430075056324604, + "loss": 5.4536, + "mean_token_accuracy": 0.1952233463525772, + "num_tokens": 8043995.0, + "step": 4425 + }, + { + "entropy": 5.882454442977905, + "epoch": 3.8061882251826384, + "grad_norm": 1.140625, + "learning_rate": 0.00039401872270257546, + "loss": 5.5335, + "mean_token_accuracy": 0.18912735730409622, + "num_tokens": 8053059.0, + "step": 4430 + }, + { + "entropy": 5.857541561126709, + "epoch": 3.810485603781693, + "grad_norm": 1.078125, + "learning_rate": 0.00039373643495258567, + "loss": 5.5521, + "mean_token_accuracy": 0.1929113283753395, + "num_tokens": 8062160.0, + "step": 4435 + }, + { + "entropy": 5.836390352249145, + "epoch": 3.8147829823807475, + "grad_norm": 1.1484375, + "learning_rate": 0.00039345388792968056, + "loss": 5.4535, + "mean_token_accuracy": 0.19928884506225586, + "num_tokens": 8071260.0, + "step": 4440 + }, + { + "entropy": 5.92797999382019, + "epoch": 3.819080360979802, + "grad_norm": 1.2578125, + "learning_rate": 0.00039317108225082984, + "loss": 5.584, + "mean_token_accuracy": 0.17884425669908524, + "num_tokens": 8081540.0, + "step": 4445 + }, + { + "entropy": 5.852789735794067, + "epoch": 3.8233777395788566, + "grad_norm": 1.1796875, + "learning_rate": 0.00039288801853356806, + "loss": 5.5403, + "mean_token_accuracy": 0.19031485319137573, + "num_tokens": 8089785.0, + "step": 4450 + }, + { + "entropy": 5.903105306625366, + "epoch": 3.8276751181779116, + "grad_norm": 1.203125, + "learning_rate": 0.0003926046973959932, + "loss": 5.3854, + "mean_token_accuracy": 0.2016897514462471, + "num_tokens": 8098097.0, + "step": 4455 + }, + { + "entropy": 5.839665746688842, + "epoch": 3.831972496776966, + "grad_norm": 1.0234375, + "learning_rate": 0.0003923211194567654, + "loss": 5.6069, + "mean_token_accuracy": 0.18874900341033934, + "num_tokens": 8108693.0, + "step": 4460 + }, + { + "entropy": 5.916633415222168, + "epoch": 3.8362698753760207, + "grad_norm": 1.1484375, + "learning_rate": 0.00039203728533510556, + "loss": 5.4581, + "mean_token_accuracy": 0.19540373086929322, + "num_tokens": 8117181.0, + "step": 4465 + }, + { + "entropy": 5.865298652648926, + "epoch": 3.8405672539750753, + "grad_norm": 1.1640625, + "learning_rate": 0.000391753195650794, + "loss": 5.4702, + "mean_token_accuracy": 0.18679834604263307, + "num_tokens": 8125398.0, + "step": 4470 + }, + { + "entropy": 5.871571397781372, + "epoch": 3.84486463257413, + "grad_norm": 1.0859375, + "learning_rate": 0.00039146885102416895, + "loss": 5.4902, + "mean_token_accuracy": 0.18905259370803834, + "num_tokens": 8135320.0, + "step": 4475 + }, + { + "entropy": 5.89444932937622, + "epoch": 3.8491620111731844, + "grad_norm": 1.1484375, + "learning_rate": 0.00039118425207612553, + "loss": 5.568, + "mean_token_accuracy": 0.18921478390693663, + "num_tokens": 8144320.0, + "step": 4480 + }, + { + "entropy": 5.779955959320068, + "epoch": 3.853459389772239, + "grad_norm": 1.1640625, + "learning_rate": 0.00039089939942811396, + "loss": 5.4373, + "mean_token_accuracy": 0.1988345354795456, + "num_tokens": 8153653.0, + "step": 4485 + }, + { + "entropy": 5.915558528900147, + "epoch": 3.8577567683712934, + "grad_norm": 1.0703125, + "learning_rate": 0.00039061429370213863, + "loss": 5.4759, + "mean_token_accuracy": 0.1880367398262024, + "num_tokens": 8162741.0, + "step": 4490 + }, + { + "entropy": 5.789914560317993, + "epoch": 3.862054146970348, + "grad_norm": 1.140625, + "learning_rate": 0.00039032893552075646, + "loss": 5.3866, + "mean_token_accuracy": 0.20460292547941208, + "num_tokens": 8171078.0, + "step": 4495 + }, + { + "entropy": 5.812246417999267, + "epoch": 3.8663515255694025, + "grad_norm": 1.21875, + "learning_rate": 0.0003900433255070758, + "loss": 5.4441, + "mean_token_accuracy": 0.19726246744394302, + "num_tokens": 8179968.0, + "step": 4500 + }, + { + "epoch": 3.8663515255694025, + "eval_entropy": 5.669238594201234, + "eval_loss": 5.937331676483154, + "eval_mean_token_accuracy": 0.17546728171139686, + "eval_num_tokens": 8179968.0, + "eval_runtime": 2.0525, + "eval_samples_per_second": 1729.081, + "eval_steps_per_second": 216.318, + "step": 4500 + }, + { + "entropy": 5.868862056732178, + "epoch": 3.870648904168457, + "grad_norm": 1.109375, + "learning_rate": 0.00038975746428475454, + "loss": 5.4345, + "mean_token_accuracy": 0.19067300260066986, + "num_tokens": 8189261.0, + "step": 4505 + }, + { + "entropy": 5.934845113754273, + "epoch": 3.874946282767512, + "grad_norm": 1.1484375, + "learning_rate": 0.00038947135247799955, + "loss": 5.4365, + "mean_token_accuracy": 0.1983747035264969, + "num_tokens": 8198302.0, + "step": 4510 + }, + { + "entropy": 5.853604698181153, + "epoch": 3.8792436613665666, + "grad_norm": 1.0703125, + "learning_rate": 0.00038918499071156443, + "loss": 5.4386, + "mean_token_accuracy": 0.19632905274629592, + "num_tokens": 8207098.0, + "step": 4515 + }, + { + "entropy": 5.838044023513794, + "epoch": 3.883541039965621, + "grad_norm": 1.2265625, + "learning_rate": 0.000388898379610749, + "loss": 5.4741, + "mean_token_accuracy": 0.18905991911888123, + "num_tokens": 8216831.0, + "step": 4520 + }, + { + "entropy": 5.869770908355713, + "epoch": 3.8878384185646757, + "grad_norm": 1.15625, + "learning_rate": 0.0003886115198013973, + "loss": 5.4715, + "mean_token_accuracy": 0.19619868695735931, + "num_tokens": 8225369.0, + "step": 4525 + }, + { + "entropy": 5.923373460769653, + "epoch": 3.8921357971637303, + "grad_norm": 1.1875, + "learning_rate": 0.0003883244119098965, + "loss": 5.6014, + "mean_token_accuracy": 0.1788467511534691, + "num_tokens": 8234440.0, + "step": 4530 + }, + { + "entropy": 5.8807614803314205, + "epoch": 3.896433175762785, + "grad_norm": 1.09375, + "learning_rate": 0.0003880370565631754, + "loss": 5.4068, + "mean_token_accuracy": 0.1984736517071724, + "num_tokens": 8243707.0, + "step": 4535 + }, + { + "entropy": 5.894764137268067, + "epoch": 3.9007305543618394, + "grad_norm": 1.09375, + "learning_rate": 0.00038774945438870337, + "loss": 5.5811, + "mean_token_accuracy": 0.18669764697551727, + "num_tokens": 8254223.0, + "step": 4540 + }, + { + "entropy": 5.834207344055176, + "epoch": 3.905027932960894, + "grad_norm": 1.1640625, + "learning_rate": 0.00038746160601448845, + "loss": 5.429, + "mean_token_accuracy": 0.1912005826830864, + "num_tokens": 8263105.0, + "step": 4545 + }, + { + "entropy": 5.793808317184448, + "epoch": 3.9093253115599484, + "grad_norm": 1.046875, + "learning_rate": 0.0003871735120690766, + "loss": 5.4899, + "mean_token_accuracy": 0.19511680603027343, + "num_tokens": 8271478.0, + "step": 4550 + }, + { + "entropy": 5.896292304992675, + "epoch": 3.913622690159003, + "grad_norm": 1.1171875, + "learning_rate": 0.0003868851731815497, + "loss": 5.522, + "mean_token_accuracy": 0.18419113904237747, + "num_tokens": 8280396.0, + "step": 4555 + }, + { + "entropy": 5.898507070541382, + "epoch": 3.9179200687580575, + "grad_norm": 1.1796875, + "learning_rate": 0.0003865965899815247, + "loss": 5.522, + "mean_token_accuracy": 0.18741509020328523, + "num_tokens": 8290371.0, + "step": 4560 + }, + { + "entropy": 5.856956624984742, + "epoch": 3.922217447357112, + "grad_norm": 1.1328125, + "learning_rate": 0.0003863077630991518, + "loss": 5.416, + "mean_token_accuracy": 0.2038359597325325, + "num_tokens": 8298976.0, + "step": 4565 + }, + { + "entropy": 5.8094282150268555, + "epoch": 3.9265148259561666, + "grad_norm": 1.0859375, + "learning_rate": 0.0003860186931651139, + "loss": 5.4775, + "mean_token_accuracy": 0.19014360755681992, + "num_tokens": 8308752.0, + "step": 4570 + }, + { + "entropy": 5.868230819702148, + "epoch": 3.930812204555221, + "grad_norm": 1.09375, + "learning_rate": 0.0003857293808106238, + "loss": 5.5311, + "mean_token_accuracy": 0.1895223081111908, + "num_tokens": 8317343.0, + "step": 4575 + }, + { + "entropy": 5.894303274154663, + "epoch": 3.9351095831542757, + "grad_norm": 1.0546875, + "learning_rate": 0.0003854398266674241, + "loss": 5.382, + "mean_token_accuracy": 0.1990468829870224, + "num_tokens": 8326956.0, + "step": 4580 + }, + { + "entropy": 5.8280493259429935, + "epoch": 3.9394069617533303, + "grad_norm": 1.1875, + "learning_rate": 0.00038515003136778544, + "loss": 5.497, + "mean_token_accuracy": 0.1899331420660019, + "num_tokens": 8335589.0, + "step": 4585 + }, + { + "entropy": 5.8244860649108885, + "epoch": 3.943704340352385, + "grad_norm": 1.125, + "learning_rate": 0.00038485999554450483, + "loss": 5.4746, + "mean_token_accuracy": 0.18865241706371308, + "num_tokens": 8345517.0, + "step": 4590 + }, + { + "entropy": 5.774182653427124, + "epoch": 3.9480017189514394, + "grad_norm": 1.1875, + "learning_rate": 0.00038456971983090454, + "loss": 5.3962, + "mean_token_accuracy": 0.2035086452960968, + "num_tokens": 8354702.0, + "step": 4595 + }, + { + "entropy": 5.860455703735352, + "epoch": 3.9522990975504944, + "grad_norm": 1.1171875, + "learning_rate": 0.0003842792048608309, + "loss": 5.4462, + "mean_token_accuracy": 0.19748363494873047, + "num_tokens": 8362940.0, + "step": 4600 + }, + { + "entropy": 5.890370893478393, + "epoch": 3.956596476149549, + "grad_norm": 1.0234375, + "learning_rate": 0.0003839884512686523, + "loss": 5.4862, + "mean_token_accuracy": 0.1941131427884102, + "num_tokens": 8372034.0, + "step": 4605 + }, + { + "entropy": 5.86606798171997, + "epoch": 3.9608938547486034, + "grad_norm": 1.1171875, + "learning_rate": 0.00038369745968925846, + "loss": 5.5098, + "mean_token_accuracy": 0.18545786291360855, + "num_tokens": 8381673.0, + "step": 4610 + }, + { + "entropy": 5.86917929649353, + "epoch": 3.965191233347658, + "grad_norm": 1.03125, + "learning_rate": 0.00038340623075805875, + "loss": 5.4495, + "mean_token_accuracy": 0.1948995217680931, + "num_tokens": 8390804.0, + "step": 4615 + }, + { + "entropy": 5.923179006576538, + "epoch": 3.9694886119467125, + "grad_norm": 1.1796875, + "learning_rate": 0.00038311476511098053, + "loss": 5.4934, + "mean_token_accuracy": 0.19242242276668547, + "num_tokens": 8399644.0, + "step": 4620 + }, + { + "entropy": 5.829574918746948, + "epoch": 3.973785990545767, + "grad_norm": 1.1640625, + "learning_rate": 0.0003828230633844685, + "loss": 5.5087, + "mean_token_accuracy": 0.1927846297621727, + "num_tokens": 8409264.0, + "step": 4625 + }, + { + "entropy": 5.8476622104644775, + "epoch": 3.9780833691448216, + "grad_norm": 1.2109375, + "learning_rate": 0.00038253112621548243, + "loss": 5.4526, + "mean_token_accuracy": 0.18896006494760514, + "num_tokens": 8418383.0, + "step": 4630 + }, + { + "entropy": 5.907848215103149, + "epoch": 3.982380747743876, + "grad_norm": 1.0859375, + "learning_rate": 0.0003822389542414966, + "loss": 5.4784, + "mean_token_accuracy": 0.1900715708732605, + "num_tokens": 8427411.0, + "step": 4635 + }, + { + "entropy": 5.852678823471069, + "epoch": 3.9866781263429307, + "grad_norm": 1.125, + "learning_rate": 0.00038194654810049775, + "loss": 5.4311, + "mean_token_accuracy": 0.1907512903213501, + "num_tokens": 8435537.0, + "step": 4640 + }, + { + "entropy": 5.844833660125732, + "epoch": 3.9909755049419853, + "grad_norm": 1.0703125, + "learning_rate": 0.000381653908430984, + "loss": 5.5191, + "mean_token_accuracy": 0.18742516934871672, + "num_tokens": 8444400.0, + "step": 4645 + }, + { + "entropy": 5.909849452972412, + "epoch": 3.99527288354104, + "grad_norm": 1.0703125, + "learning_rate": 0.0003813610358719634, + "loss": 5.4883, + "mean_token_accuracy": 0.18923701345920563, + "num_tokens": 8453830.0, + "step": 4650 + }, + { + "entropy": 5.875612211227417, + "epoch": 3.999570262140095, + "grad_norm": 1.0546875, + "learning_rate": 0.00038106793106295266, + "loss": 5.4533, + "mean_token_accuracy": 0.19856019467115402, + "num_tokens": 8463033.0, + "step": 4655 + }, + { + "entropy": 5.82416311899821, + "epoch": 4.003437902879243, + "grad_norm": 1.0234375, + "learning_rate": 0.0003807745946439754, + "loss": 5.238, + "mean_token_accuracy": 0.2109938876496421, + "num_tokens": 8470740.0, + "step": 4660 + }, + { + "entropy": 5.827999782562256, + "epoch": 4.007735281478298, + "grad_norm": 1.015625, + "learning_rate": 0.0003804810272555612, + "loss": 5.2188, + "mean_token_accuracy": 0.20497858077287673, + "num_tokens": 8480480.0, + "step": 4665 + }, + { + "entropy": 5.813249492645264, + "epoch": 4.012032660077352, + "grad_norm": 1.1640625, + "learning_rate": 0.0003801872295387439, + "loss": 5.1719, + "mean_token_accuracy": 0.2139571100473404, + "num_tokens": 8489047.0, + "step": 4670 + }, + { + "entropy": 5.870213556289673, + "epoch": 4.016330038676408, + "grad_norm": 1.1015625, + "learning_rate": 0.0003798932021350603, + "loss": 5.2304, + "mean_token_accuracy": 0.2088460475206375, + "num_tokens": 8497763.0, + "step": 4675 + }, + { + "entropy": 5.844989204406739, + "epoch": 4.020627417275462, + "grad_norm": 1.109375, + "learning_rate": 0.00037959894568654864, + "loss": 5.2276, + "mean_token_accuracy": 0.2120213195681572, + "num_tokens": 8506814.0, + "step": 4680 + }, + { + "entropy": 5.945601987838745, + "epoch": 4.024924795874517, + "grad_norm": 1.1171875, + "learning_rate": 0.0003793044608357474, + "loss": 5.3337, + "mean_token_accuracy": 0.19796358346939086, + "num_tokens": 8516384.0, + "step": 4685 + }, + { + "entropy": 5.8777913570404055, + "epoch": 4.0292221744735714, + "grad_norm": 1.1796875, + "learning_rate": 0.0003790097482256939, + "loss": 5.1704, + "mean_token_accuracy": 0.20637003779411317, + "num_tokens": 8524822.0, + "step": 4690 + }, + { + "entropy": 5.831185436248779, + "epoch": 4.033519553072626, + "grad_norm": 1.03125, + "learning_rate": 0.0003787148084999225, + "loss": 5.2003, + "mean_token_accuracy": 0.21544599533081055, + "num_tokens": 8534129.0, + "step": 4695 + }, + { + "entropy": 5.817060756683349, + "epoch": 4.0378169316716805, + "grad_norm": 1.1875, + "learning_rate": 0.00037841964230246394, + "loss": 5.2683, + "mean_token_accuracy": 0.20154480040073394, + "num_tokens": 8543235.0, + "step": 4700 + }, + { + "entropy": 5.798751497268677, + "epoch": 4.042114310270735, + "grad_norm": 1.1796875, + "learning_rate": 0.0003781242502778429, + "loss": 5.1701, + "mean_token_accuracy": 0.22188325822353364, + "num_tokens": 8551903.0, + "step": 4705 + }, + { + "entropy": 5.810360908508301, + "epoch": 4.04641168886979, + "grad_norm": 1.234375, + "learning_rate": 0.00037782863307107785, + "loss": 5.2542, + "mean_token_accuracy": 0.2083105593919754, + "num_tokens": 8561173.0, + "step": 4710 + }, + { + "entropy": 5.864426326751709, + "epoch": 4.050709067468844, + "grad_norm": 1.15625, + "learning_rate": 0.00037753279132767833, + "loss": 5.1615, + "mean_token_accuracy": 0.22426997274160385, + "num_tokens": 8569789.0, + "step": 4715 + }, + { + "entropy": 5.76513557434082, + "epoch": 4.055006446067899, + "grad_norm": 1.265625, + "learning_rate": 0.00037723672569364453, + "loss": 5.1543, + "mean_token_accuracy": 0.21237667500972748, + "num_tokens": 8577971.0, + "step": 4720 + }, + { + "entropy": 5.831951045989991, + "epoch": 4.059303824666953, + "grad_norm": 1.125, + "learning_rate": 0.00037694043681546545, + "loss": 5.2463, + "mean_token_accuracy": 0.20461665093898773, + "num_tokens": 8587299.0, + "step": 4725 + }, + { + "entropy": 5.790086889266968, + "epoch": 4.063601203266008, + "grad_norm": 1.078125, + "learning_rate": 0.0003766439253401177, + "loss": 5.1975, + "mean_token_accuracy": 0.20828050523996353, + "num_tokens": 8595813.0, + "step": 4730 + }, + { + "entropy": 5.796638345718383, + "epoch": 4.067898581865062, + "grad_norm": 1.1875, + "learning_rate": 0.00037634719191506367, + "loss": 5.2105, + "mean_token_accuracy": 0.2160770669579506, + "num_tokens": 8604552.0, + "step": 4735 + }, + { + "entropy": 5.735085487365723, + "epoch": 4.072195960464117, + "grad_norm": 1.328125, + "learning_rate": 0.00037605023718825065, + "loss": 5.1459, + "mean_token_accuracy": 0.21400606483221055, + "num_tokens": 8612701.0, + "step": 4740 + }, + { + "entropy": 5.806445741653443, + "epoch": 4.0764933390631715, + "grad_norm": 1.0234375, + "learning_rate": 0.000375753061808109, + "loss": 5.2262, + "mean_token_accuracy": 0.20582615286111833, + "num_tokens": 8622699.0, + "step": 4745 + }, + { + "entropy": 5.826416683197022, + "epoch": 4.080790717662226, + "grad_norm": 1.109375, + "learning_rate": 0.00037545566642355107, + "loss": 5.1988, + "mean_token_accuracy": 0.20449893027544022, + "num_tokens": 8631821.0, + "step": 4750 + }, + { + "entropy": 5.820923519134522, + "epoch": 4.0850880962612806, + "grad_norm": 1.078125, + "learning_rate": 0.0003751580516839695, + "loss": 5.1632, + "mean_token_accuracy": 0.21159304827451705, + "num_tokens": 8641814.0, + "step": 4755 + }, + { + "entropy": 5.8700745582580565, + "epoch": 4.089385474860335, + "grad_norm": 1.1796875, + "learning_rate": 0.00037486021823923574, + "loss": 5.2402, + "mean_token_accuracy": 0.2071731209754944, + "num_tokens": 8649649.0, + "step": 4760 + }, + { + "entropy": 5.737698268890381, + "epoch": 4.09368285345939, + "grad_norm": 1.15625, + "learning_rate": 0.00037456216673969925, + "loss": 5.1651, + "mean_token_accuracy": 0.21470018476247787, + "num_tokens": 8658216.0, + "step": 4765 + }, + { + "entropy": 5.819456481933594, + "epoch": 4.097980232058444, + "grad_norm": 1.015625, + "learning_rate": 0.0003742638978361851, + "loss": 5.263, + "mean_token_accuracy": 0.20773692131042482, + "num_tokens": 8667725.0, + "step": 4770 + }, + { + "entropy": 5.748415946960449, + "epoch": 4.102277610657499, + "grad_norm": 1.1796875, + "learning_rate": 0.00037396541217999367, + "loss": 5.1166, + "mean_token_accuracy": 0.21343214809894562, + "num_tokens": 8675739.0, + "step": 4775 + }, + { + "entropy": 5.802015209197998, + "epoch": 4.106574989256553, + "grad_norm": 1.140625, + "learning_rate": 0.0003736667104228981, + "loss": 5.1982, + "mean_token_accuracy": 0.21212756633758545, + "num_tokens": 8685764.0, + "step": 4780 + }, + { + "entropy": 5.813879203796387, + "epoch": 4.110872367855608, + "grad_norm": 1.3515625, + "learning_rate": 0.00037336779321714376, + "loss": 5.1685, + "mean_token_accuracy": 0.2184282124042511, + "num_tokens": 8695476.0, + "step": 4785 + }, + { + "entropy": 5.770734739303589, + "epoch": 4.115169746454662, + "grad_norm": 1.1796875, + "learning_rate": 0.00037306866121544633, + "loss": 5.2349, + "mean_token_accuracy": 0.2108105957508087, + "num_tokens": 8705544.0, + "step": 4790 + }, + { + "entropy": 5.867660713195801, + "epoch": 4.119467125053717, + "grad_norm": 1.15625, + "learning_rate": 0.0003727693150709904, + "loss": 5.229, + "mean_token_accuracy": 0.21013996750116348, + "num_tokens": 8714883.0, + "step": 4795 + }, + { + "entropy": 5.878910875320434, + "epoch": 4.1237645036527715, + "grad_norm": 1.109375, + "learning_rate": 0.00037246975543742843, + "loss": 5.2647, + "mean_token_accuracy": 0.20463906675577165, + "num_tokens": 8724589.0, + "step": 4800 + }, + { + "entropy": 5.705543088912964, + "epoch": 4.128061882251826, + "grad_norm": 1.125, + "learning_rate": 0.000372169982968879, + "loss": 5.1432, + "mean_token_accuracy": 0.2145526185631752, + "num_tokens": 8733771.0, + "step": 4805 + }, + { + "entropy": 5.80822606086731, + "epoch": 4.132359260850881, + "grad_norm": 1.2578125, + "learning_rate": 0.0003718699983199252, + "loss": 5.23, + "mean_token_accuracy": 0.21176477819681166, + "num_tokens": 8742348.0, + "step": 4810 + }, + { + "entropy": 5.754483032226562, + "epoch": 4.136656639449935, + "grad_norm": 1.1171875, + "learning_rate": 0.0003715698021456137, + "loss": 5.1666, + "mean_token_accuracy": 0.21949181854724883, + "num_tokens": 8751357.0, + "step": 4815 + }, + { + "entropy": 5.754259347915649, + "epoch": 4.1409540180489905, + "grad_norm": 1.09375, + "learning_rate": 0.00037126939510145294, + "loss": 5.2289, + "mean_token_accuracy": 0.21563220173120498, + "num_tokens": 8760813.0, + "step": 4820 + }, + { + "entropy": 5.887066793441773, + "epoch": 4.145251396648045, + "grad_norm": 1.2265625, + "learning_rate": 0.0003709687778434118, + "loss": 5.267, + "mean_token_accuracy": 0.2031414046883583, + "num_tokens": 8770228.0, + "step": 4825 + }, + { + "entropy": 5.764794158935547, + "epoch": 4.1495487752471, + "grad_norm": 1.28125, + "learning_rate": 0.0003706679510279183, + "loss": 5.104, + "mean_token_accuracy": 0.21419611275196077, + "num_tokens": 8779351.0, + "step": 4830 + }, + { + "entropy": 5.787221384048462, + "epoch": 4.153846153846154, + "grad_norm": 1.21875, + "learning_rate": 0.0003703669153118578, + "loss": 5.265, + "mean_token_accuracy": 0.2048552840948105, + "num_tokens": 8789116.0, + "step": 4835 + }, + { + "entropy": 5.73529543876648, + "epoch": 4.158143532445209, + "grad_norm": 1.15625, + "learning_rate": 0.00037006567135257216, + "loss": 5.2226, + "mean_token_accuracy": 0.2051789328455925, + "num_tokens": 8797790.0, + "step": 4840 + }, + { + "entropy": 5.840820932388306, + "epoch": 4.162440911044263, + "grad_norm": 1.09375, + "learning_rate": 0.00036976421980785764, + "loss": 5.2712, + "mean_token_accuracy": 0.19828639030456544, + "num_tokens": 8808067.0, + "step": 4845 + }, + { + "entropy": 5.780494928359985, + "epoch": 4.166738289643318, + "grad_norm": 1.1875, + "learning_rate": 0.0003694625613359641, + "loss": 5.1702, + "mean_token_accuracy": 0.2194593980908394, + "num_tokens": 8816587.0, + "step": 4850 + }, + { + "entropy": 5.8219578742980955, + "epoch": 4.171035668242372, + "grad_norm": 1.21875, + "learning_rate": 0.0003691606965955929, + "loss": 5.237, + "mean_token_accuracy": 0.20742220878601075, + "num_tokens": 8826045.0, + "step": 4855 + }, + { + "entropy": 5.729091739654541, + "epoch": 4.175333046841427, + "grad_norm": 1.09375, + "learning_rate": 0.000368858626245896, + "loss": 5.2299, + "mean_token_accuracy": 0.21220277696847917, + "num_tokens": 8835427.0, + "step": 4860 + }, + { + "entropy": 5.753469085693359, + "epoch": 4.1796304254404815, + "grad_norm": 0.984375, + "learning_rate": 0.0003685563509464744, + "loss": 5.1641, + "mean_token_accuracy": 0.21428546756505967, + "num_tokens": 8845167.0, + "step": 4865 + }, + { + "entropy": 5.825128555297852, + "epoch": 4.183927804039536, + "grad_norm": 1.25, + "learning_rate": 0.00036825387135737647, + "loss": 5.1645, + "mean_token_accuracy": 0.21480036079883574, + "num_tokens": 8853591.0, + "step": 4870 + }, + { + "entropy": 5.752241849899292, + "epoch": 4.188225182638591, + "grad_norm": 1.21875, + "learning_rate": 0.00036795118813909674, + "loss": 5.2826, + "mean_token_accuracy": 0.2008580043911934, + "num_tokens": 8863647.0, + "step": 4875 + }, + { + "entropy": 5.848931741714478, + "epoch": 4.192522561237645, + "grad_norm": 1.1796875, + "learning_rate": 0.00036764830195257437, + "loss": 5.2041, + "mean_token_accuracy": 0.20963532328605652, + "num_tokens": 8872911.0, + "step": 4880 + }, + { + "entropy": 5.850318908691406, + "epoch": 4.1968199398367, + "grad_norm": 1.2578125, + "learning_rate": 0.0003673452134591918, + "loss": 5.2565, + "mean_token_accuracy": 0.20480175465345382, + "num_tokens": 8881001.0, + "step": 4885 + }, + { + "entropy": 5.747745132446289, + "epoch": 4.201117318435754, + "grad_norm": 1.1953125, + "learning_rate": 0.000367041923320773, + "loss": 5.1625, + "mean_token_accuracy": 0.2151420921087265, + "num_tokens": 8890323.0, + "step": 4890 + }, + { + "entropy": 5.7503491878509525, + "epoch": 4.205414697034809, + "grad_norm": 1.15625, + "learning_rate": 0.00036673843219958257, + "loss": 5.1986, + "mean_token_accuracy": 0.21217773407697677, + "num_tokens": 8900471.0, + "step": 4895 + }, + { + "entropy": 5.833252668380737, + "epoch": 4.209712075633863, + "grad_norm": 1.2109375, + "learning_rate": 0.0003664347407583238, + "loss": 5.2539, + "mean_token_accuracy": 0.20236335545778275, + "num_tokens": 8909320.0, + "step": 4900 + }, + { + "entropy": 5.810373783111572, + "epoch": 4.214009454232918, + "grad_norm": 1.234375, + "learning_rate": 0.0003661308496601373, + "loss": 5.1684, + "mean_token_accuracy": 0.21240386217832566, + "num_tokens": 8917453.0, + "step": 4905 + }, + { + "entropy": 5.728451442718506, + "epoch": 4.218306832831972, + "grad_norm": 1.3125, + "learning_rate": 0.00036582675956859983, + "loss": 5.2383, + "mean_token_accuracy": 0.21226001232862474, + "num_tokens": 8925737.0, + "step": 4910 + }, + { + "entropy": 5.681561899185181, + "epoch": 4.222604211431027, + "grad_norm": 1.21875, + "learning_rate": 0.00036552247114772263, + "loss": 5.1789, + "mean_token_accuracy": 0.21163196116685867, + "num_tokens": 8935475.0, + "step": 4915 + }, + { + "entropy": 5.826884984970093, + "epoch": 4.2269015900300815, + "grad_norm": 1.0859375, + "learning_rate": 0.00036521798506194996, + "loss": 5.2031, + "mean_token_accuracy": 0.21508658528327942, + "num_tokens": 8944683.0, + "step": 4920 + }, + { + "entropy": 5.844992017745971, + "epoch": 4.231198968629136, + "grad_norm": 1.28125, + "learning_rate": 0.00036491330197615775, + "loss": 5.2401, + "mean_token_accuracy": 0.1984725683927536, + "num_tokens": 8953837.0, + "step": 4925 + }, + { + "entropy": 5.795260763168335, + "epoch": 4.235496347228191, + "grad_norm": 1.015625, + "learning_rate": 0.00036460842255565197, + "loss": 5.2776, + "mean_token_accuracy": 0.20311659723520278, + "num_tokens": 8964822.0, + "step": 4930 + }, + { + "entropy": 5.831965970993042, + "epoch": 4.239793725827245, + "grad_norm": 1.3671875, + "learning_rate": 0.0003643033474661676, + "loss": 5.253, + "mean_token_accuracy": 0.2069919228553772, + "num_tokens": 8974363.0, + "step": 4935 + }, + { + "entropy": 5.818027830123901, + "epoch": 4.2440911044263, + "grad_norm": 1.25, + "learning_rate": 0.00036399807737386657, + "loss": 5.1565, + "mean_token_accuracy": 0.2174941658973694, + "num_tokens": 8983122.0, + "step": 4940 + }, + { + "entropy": 5.833076524734497, + "epoch": 4.248388483025354, + "grad_norm": 1.2734375, + "learning_rate": 0.0003636926129453368, + "loss": 5.2785, + "mean_token_accuracy": 0.2052626445889473, + "num_tokens": 8991618.0, + "step": 4945 + }, + { + "entropy": 5.812604331970215, + "epoch": 4.252685861624409, + "grad_norm": 1.203125, + "learning_rate": 0.0003633869548475904, + "loss": 5.189, + "mean_token_accuracy": 0.2113402158021927, + "num_tokens": 9000128.0, + "step": 4950 + }, + { + "entropy": 5.738666582107544, + "epoch": 4.256983240223463, + "grad_norm": 1.1640625, + "learning_rate": 0.0003630811037480627, + "loss": 5.1852, + "mean_token_accuracy": 0.20911359339952468, + "num_tokens": 9008951.0, + "step": 4955 + }, + { + "entropy": 5.798120307922363, + "epoch": 4.261280618822518, + "grad_norm": 1.0859375, + "learning_rate": 0.0003627750603146101, + "loss": 5.2361, + "mean_token_accuracy": 0.2046567305922508, + "num_tokens": 9018949.0, + "step": 4960 + }, + { + "entropy": 5.852856063842774, + "epoch": 4.265577997421573, + "grad_norm": 1.03125, + "learning_rate": 0.0003624688252155091, + "loss": 5.2348, + "mean_token_accuracy": 0.20631033331155776, + "num_tokens": 9028910.0, + "step": 4965 + }, + { + "entropy": 5.752488708496093, + "epoch": 4.269875376020628, + "grad_norm": 1.15625, + "learning_rate": 0.0003621623991194549, + "loss": 5.2837, + "mean_token_accuracy": 0.20204642564058303, + "num_tokens": 9039012.0, + "step": 4970 + }, + { + "entropy": 5.821020841598511, + "epoch": 4.274172754619682, + "grad_norm": 1.1015625, + "learning_rate": 0.0003618557826955594, + "loss": 5.2515, + "mean_token_accuracy": 0.20976072698831558, + "num_tokens": 9048639.0, + "step": 4975 + }, + { + "entropy": 5.811152553558349, + "epoch": 4.278470133218737, + "grad_norm": 1.1328125, + "learning_rate": 0.00036154897661335063, + "loss": 5.209, + "mean_token_accuracy": 0.21008352786302567, + "num_tokens": 9057453.0, + "step": 4980 + }, + { + "entropy": 5.742544078826905, + "epoch": 4.2827675118177915, + "grad_norm": 1.1875, + "learning_rate": 0.0003612419815427702, + "loss": 5.2414, + "mean_token_accuracy": 0.20367368310689926, + "num_tokens": 9066761.0, + "step": 4985 + }, + { + "entropy": 5.800252914428711, + "epoch": 4.287064890416846, + "grad_norm": 1.390625, + "learning_rate": 0.0003609347981541726, + "loss": 5.3227, + "mean_token_accuracy": 0.1967179670929909, + "num_tokens": 9075535.0, + "step": 4990 + }, + { + "entropy": 5.852711486816406, + "epoch": 4.291362269015901, + "grad_norm": 1.2265625, + "learning_rate": 0.00036062742711832376, + "loss": 5.2097, + "mean_token_accuracy": 0.2098710834980011, + "num_tokens": 9084559.0, + "step": 4995 + }, + { + "entropy": 5.792783451080322, + "epoch": 4.295659647614955, + "grad_norm": 1.2421875, + "learning_rate": 0.0003603198691063991, + "loss": 5.1864, + "mean_token_accuracy": 0.21033176481723787, + "num_tokens": 9093069.0, + "step": 5000 + }, + { + "epoch": 4.295659647614955, + "eval_entropy": 5.5126907895277215, + "eval_loss": 5.941234588623047, + "eval_mean_token_accuracy": 0.17705249861889594, + "eval_num_tokens": 9093069.0, + "eval_runtime": 2.0573, + "eval_samples_per_second": 1725.077, + "eval_steps_per_second": 215.817, + "step": 5000 + }, + { + "entropy": 5.730698966979981, + "epoch": 4.29995702621401, + "grad_norm": 1.34375, + "learning_rate": 0.0003600121247899824, + "loss": 5.1854, + "mean_token_accuracy": 0.21148194521665573, + "num_tokens": 9101914.0, + "step": 5005 + }, + { + "entropy": 5.787820625305176, + "epoch": 4.304254404813064, + "grad_norm": 1.1328125, + "learning_rate": 0.00035970419484106404, + "loss": 5.2651, + "mean_token_accuracy": 0.2031300500035286, + "num_tokens": 9110967.0, + "step": 5010 + }, + { + "entropy": 5.860268306732178, + "epoch": 4.308551783412119, + "grad_norm": 1.2734375, + "learning_rate": 0.0003593960799320402, + "loss": 5.3436, + "mean_token_accuracy": 0.20152566432952881, + "num_tokens": 9119774.0, + "step": 5015 + }, + { + "entropy": 5.8534019947052, + "epoch": 4.312849162011173, + "grad_norm": 1.2890625, + "learning_rate": 0.0003590877807357107, + "loss": 5.2621, + "mean_token_accuracy": 0.20448311269283295, + "num_tokens": 9127738.0, + "step": 5020 + }, + { + "entropy": 5.747374820709228, + "epoch": 4.317146540610228, + "grad_norm": 1.234375, + "learning_rate": 0.0003587792979252776, + "loss": 5.2284, + "mean_token_accuracy": 0.21259768903255463, + "num_tokens": 9137060.0, + "step": 5025 + }, + { + "entropy": 5.738905239105224, + "epoch": 4.321443919209282, + "grad_norm": 1.2734375, + "learning_rate": 0.0003584706321743442, + "loss": 5.1536, + "mean_token_accuracy": 0.20924367606639863, + "num_tokens": 9145169.0, + "step": 5030 + }, + { + "entropy": 5.76141357421875, + "epoch": 4.325741297808337, + "grad_norm": 1.140625, + "learning_rate": 0.000358161784156913, + "loss": 5.1942, + "mean_token_accuracy": 0.2173262655735016, + "num_tokens": 9154092.0, + "step": 5035 + }, + { + "entropy": 5.825730895996093, + "epoch": 4.3300386764073915, + "grad_norm": 1.1171875, + "learning_rate": 0.00035785275454738456, + "loss": 5.2386, + "mean_token_accuracy": 0.2012816220521927, + "num_tokens": 9162824.0, + "step": 5040 + }, + { + "entropy": 5.742588758468628, + "epoch": 4.334336055006446, + "grad_norm": 1.3984375, + "learning_rate": 0.00035754354402055635, + "loss": 5.1559, + "mean_token_accuracy": 0.2160980686545372, + "num_tokens": 9170977.0, + "step": 5045 + }, + { + "entropy": 5.702868556976318, + "epoch": 4.338633433605501, + "grad_norm": 1.203125, + "learning_rate": 0.0003572341532516202, + "loss": 5.1992, + "mean_token_accuracy": 0.20814448446035386, + "num_tokens": 9179539.0, + "step": 5050 + }, + { + "entropy": 5.7406261444091795, + "epoch": 4.342930812204555, + "grad_norm": 1.140625, + "learning_rate": 0.0003569245829161622, + "loss": 5.2807, + "mean_token_accuracy": 0.20756541788578034, + "num_tokens": 9188861.0, + "step": 5055 + }, + { + "entropy": 5.784680891036987, + "epoch": 4.34722819080361, + "grad_norm": 1.15625, + "learning_rate": 0.00035661483369016004, + "loss": 5.2286, + "mean_token_accuracy": 0.1989392876625061, + "num_tokens": 9197724.0, + "step": 5060 + }, + { + "entropy": 5.787300729751587, + "epoch": 4.351525569402664, + "grad_norm": 1.171875, + "learning_rate": 0.0003563049062499822, + "loss": 5.2315, + "mean_token_accuracy": 0.20997477173805237, + "num_tokens": 9206375.0, + "step": 5065 + }, + { + "entropy": 5.733764886856079, + "epoch": 4.355822948001719, + "grad_norm": 1.2890625, + "learning_rate": 0.0003559948012723865, + "loss": 5.1919, + "mean_token_accuracy": 0.21158115565776825, + "num_tokens": 9214675.0, + "step": 5070 + }, + { + "entropy": 5.733879041671753, + "epoch": 4.360120326600773, + "grad_norm": 1.2265625, + "learning_rate": 0.0003556845194345181, + "loss": 5.2254, + "mean_token_accuracy": 0.20888206362724304, + "num_tokens": 9224128.0, + "step": 5075 + }, + { + "entropy": 5.7081492900848385, + "epoch": 4.364417705199828, + "grad_norm": 1.3671875, + "learning_rate": 0.0003553740614139086, + "loss": 5.1392, + "mean_token_accuracy": 0.21299163699150087, + "num_tokens": 9232568.0, + "step": 5080 + }, + { + "entropy": 5.800437164306641, + "epoch": 4.368715083798882, + "grad_norm": 1.3125, + "learning_rate": 0.0003550634278884742, + "loss": 5.2324, + "mean_token_accuracy": 0.21197118163108825, + "num_tokens": 9241809.0, + "step": 5085 + }, + { + "entropy": 5.77132625579834, + "epoch": 4.373012462397937, + "grad_norm": 1.1484375, + "learning_rate": 0.00035475261953651433, + "loss": 5.2321, + "mean_token_accuracy": 0.21335066556930543, + "num_tokens": 9250845.0, + "step": 5090 + }, + { + "entropy": 5.693653917312622, + "epoch": 4.3773098409969915, + "grad_norm": 1.2578125, + "learning_rate": 0.00035444163703671026, + "loss": 5.1943, + "mean_token_accuracy": 0.21285624653100968, + "num_tokens": 9259465.0, + "step": 5095 + }, + { + "entropy": 5.744434118270874, + "epoch": 4.381607219596046, + "grad_norm": 1.09375, + "learning_rate": 0.00035413048106812357, + "loss": 5.1779, + "mean_token_accuracy": 0.22047749757766724, + "num_tokens": 9267853.0, + "step": 5100 + }, + { + "entropy": 5.905093669891357, + "epoch": 4.385904598195101, + "grad_norm": 1.140625, + "learning_rate": 0.00035381915231019425, + "loss": 5.3809, + "mean_token_accuracy": 0.19569829255342483, + "num_tokens": 9276664.0, + "step": 5105 + }, + { + "entropy": 5.811098051071167, + "epoch": 4.390201976794156, + "grad_norm": 1.2109375, + "learning_rate": 0.0003535076514427401, + "loss": 5.1895, + "mean_token_accuracy": 0.203962604701519, + "num_tokens": 9285482.0, + "step": 5110 + }, + { + "entropy": 5.80591082572937, + "epoch": 4.39449935539321, + "grad_norm": 1.109375, + "learning_rate": 0.00035319597914595436, + "loss": 5.2852, + "mean_token_accuracy": 0.195915387570858, + "num_tokens": 9293936.0, + "step": 5115 + }, + { + "entropy": 5.787075090408325, + "epoch": 4.398796733992265, + "grad_norm": 1.171875, + "learning_rate": 0.0003528841361004049, + "loss": 5.3233, + "mean_token_accuracy": 0.19306655526161193, + "num_tokens": 9303998.0, + "step": 5120 + }, + { + "entropy": 5.752510738372803, + "epoch": 4.40309411259132, + "grad_norm": 1.2265625, + "learning_rate": 0.0003525721229870323, + "loss": 5.251, + "mean_token_accuracy": 0.2090088054537773, + "num_tokens": 9313117.0, + "step": 5125 + }, + { + "entropy": 5.783660840988159, + "epoch": 4.407391491190374, + "grad_norm": 1.1875, + "learning_rate": 0.00035225994048714823, + "loss": 5.2526, + "mean_token_accuracy": 0.2077660158276558, + "num_tokens": 9321446.0, + "step": 5130 + }, + { + "entropy": 5.77846508026123, + "epoch": 4.411688869789429, + "grad_norm": 1.1875, + "learning_rate": 0.0003519475892824348, + "loss": 5.2384, + "mean_token_accuracy": 0.20596326589584352, + "num_tokens": 9330752.0, + "step": 5135 + }, + { + "entropy": 5.770553827285767, + "epoch": 4.415986248388483, + "grad_norm": 1.1875, + "learning_rate": 0.0003516350700549419, + "loss": 5.2732, + "mean_token_accuracy": 0.20229104906320572, + "num_tokens": 9339322.0, + "step": 5140 + }, + { + "entropy": 5.816301393508911, + "epoch": 4.420283626987538, + "grad_norm": 1.21875, + "learning_rate": 0.00035132238348708697, + "loss": 5.2839, + "mean_token_accuracy": 0.20409662872552872, + "num_tokens": 9349024.0, + "step": 5145 + }, + { + "entropy": 5.914752197265625, + "epoch": 4.424581005586592, + "grad_norm": 1.2890625, + "learning_rate": 0.00035100953026165224, + "loss": 5.3867, + "mean_token_accuracy": 0.19790366888046265, + "num_tokens": 9358833.0, + "step": 5150 + }, + { + "entropy": 5.826274108886719, + "epoch": 4.428878384185647, + "grad_norm": 1.1328125, + "learning_rate": 0.0003506965110617841, + "loss": 5.2289, + "mean_token_accuracy": 0.214010326564312, + "num_tokens": 9368276.0, + "step": 5155 + }, + { + "entropy": 5.816830682754516, + "epoch": 4.4331757627847015, + "grad_norm": 1.0390625, + "learning_rate": 0.0003503833265709915, + "loss": 5.3071, + "mean_token_accuracy": 0.20325663387775422, + "num_tokens": 9378501.0, + "step": 5160 + }, + { + "entropy": 5.826269149780273, + "epoch": 4.437473141383756, + "grad_norm": 1.25, + "learning_rate": 0.00035006997747314404, + "loss": 5.2774, + "mean_token_accuracy": 0.19983620047569275, + "num_tokens": 9387789.0, + "step": 5165 + }, + { + "entropy": 5.813027286529541, + "epoch": 4.441770519982811, + "grad_norm": 1.1484375, + "learning_rate": 0.00034975646445247106, + "loss": 5.3265, + "mean_token_accuracy": 0.20185133814811707, + "num_tokens": 9397041.0, + "step": 5170 + }, + { + "entropy": 5.773282194137574, + "epoch": 4.446067898581865, + "grad_norm": 1.2109375, + "learning_rate": 0.0003494427881935596, + "loss": 5.2723, + "mean_token_accuracy": 0.2093829855322838, + "num_tokens": 9405393.0, + "step": 5175 + }, + { + "entropy": 5.777915334701538, + "epoch": 4.45036527718092, + "grad_norm": 1.1484375, + "learning_rate": 0.00034912894938135325, + "loss": 5.2298, + "mean_token_accuracy": 0.2085086777806282, + "num_tokens": 9415127.0, + "step": 5180 + }, + { + "entropy": 5.829266881942749, + "epoch": 4.454662655779974, + "grad_norm": 1.234375, + "learning_rate": 0.0003488149487011506, + "loss": 5.3247, + "mean_token_accuracy": 0.20795295685529708, + "num_tokens": 9424416.0, + "step": 5185 + }, + { + "entropy": 5.84766411781311, + "epoch": 4.458960034379029, + "grad_norm": 1.1484375, + "learning_rate": 0.00034850078683860346, + "loss": 5.2875, + "mean_token_accuracy": 0.1986890748143196, + "num_tokens": 9434523.0, + "step": 5190 + }, + { + "entropy": 5.80431432723999, + "epoch": 4.463257412978083, + "grad_norm": 1.1484375, + "learning_rate": 0.0003481864644797159, + "loss": 5.2997, + "mean_token_accuracy": 0.21254103779792785, + "num_tokens": 9443605.0, + "step": 5195 + }, + { + "entropy": 5.781310033798218, + "epoch": 4.467554791577138, + "grad_norm": 1.1796875, + "learning_rate": 0.0003478719823108424, + "loss": 5.2947, + "mean_token_accuracy": 0.19746852219104766, + "num_tokens": 9453268.0, + "step": 5200 + }, + { + "entropy": 5.7848005294799805, + "epoch": 4.471852170176192, + "grad_norm": 1.203125, + "learning_rate": 0.00034755734101868613, + "loss": 5.1721, + "mean_token_accuracy": 0.21285812854766845, + "num_tokens": 9461578.0, + "step": 5205 + }, + { + "entropy": 5.753478622436523, + "epoch": 4.476149548775247, + "grad_norm": 1.1484375, + "learning_rate": 0.00034724254129029795, + "loss": 5.2001, + "mean_token_accuracy": 0.21043628752231597, + "num_tokens": 9470722.0, + "step": 5210 + }, + { + "entropy": 5.809699296951294, + "epoch": 4.4804469273743015, + "grad_norm": 1.296875, + "learning_rate": 0.0003469275838130748, + "loss": 5.3227, + "mean_token_accuracy": 0.20192081183195115, + "num_tokens": 9479695.0, + "step": 5215 + }, + { + "entropy": 5.808649206161499, + "epoch": 4.484744305973356, + "grad_norm": 1.1953125, + "learning_rate": 0.0003466124692747577, + "loss": 5.232, + "mean_token_accuracy": 0.20722401291131973, + "num_tokens": 9488444.0, + "step": 5220 + }, + { + "entropy": 5.7202616214752195, + "epoch": 4.489041684572411, + "grad_norm": 1.2265625, + "learning_rate": 0.00034629719836343106, + "loss": 5.1774, + "mean_token_accuracy": 0.2171816810965538, + "num_tokens": 9497413.0, + "step": 5225 + }, + { + "entropy": 5.747977256774902, + "epoch": 4.493339063171465, + "grad_norm": 1.296875, + "learning_rate": 0.0003459817717675203, + "loss": 5.2276, + "mean_token_accuracy": 0.21789820790290831, + "num_tokens": 9506135.0, + "step": 5230 + }, + { + "entropy": 5.8027201175689695, + "epoch": 4.49763644177052, + "grad_norm": 1.0546875, + "learning_rate": 0.0003456661901757913, + "loss": 5.2937, + "mean_token_accuracy": 0.19964347779750824, + "num_tokens": 9516918.0, + "step": 5235 + }, + { + "entropy": 5.848086404800415, + "epoch": 4.501933820369574, + "grad_norm": 1.2734375, + "learning_rate": 0.00034535045427734796, + "loss": 5.2538, + "mean_token_accuracy": 0.21298788338899613, + "num_tokens": 9526052.0, + "step": 5240 + }, + { + "entropy": 5.732174396514893, + "epoch": 4.506231198968629, + "grad_norm": 1.25, + "learning_rate": 0.0003450345647616313, + "loss": 5.3185, + "mean_token_accuracy": 0.20533958673477173, + "num_tokens": 9535200.0, + "step": 5245 + }, + { + "entropy": 5.726828384399414, + "epoch": 4.510528577567683, + "grad_norm": 1.171875, + "learning_rate": 0.0003447185223184177, + "loss": 5.281, + "mean_token_accuracy": 0.2057891994714737, + "num_tokens": 9544786.0, + "step": 5250 + }, + { + "entropy": 5.807714033126831, + "epoch": 4.514825956166739, + "grad_norm": 1.1484375, + "learning_rate": 0.00034440232763781765, + "loss": 5.2182, + "mean_token_accuracy": 0.21241068094968796, + "num_tokens": 9553694.0, + "step": 5255 + }, + { + "entropy": 5.750864171981812, + "epoch": 4.519123334765792, + "grad_norm": 1.203125, + "learning_rate": 0.000344085981410274, + "loss": 5.2862, + "mean_token_accuracy": 0.20592611283063889, + "num_tokens": 9563332.0, + "step": 5260 + }, + { + "entropy": 5.697850608825684, + "epoch": 4.523420713364848, + "grad_norm": 1.140625, + "learning_rate": 0.00034376948432656036, + "loss": 5.1916, + "mean_token_accuracy": 0.2156210646033287, + "num_tokens": 9572367.0, + "step": 5265 + }, + { + "entropy": 5.792697620391846, + "epoch": 4.527718091963902, + "grad_norm": 1.0546875, + "learning_rate": 0.0003434528370777798, + "loss": 5.29, + "mean_token_accuracy": 0.20060945600271224, + "num_tokens": 9582535.0, + "step": 5270 + }, + { + "entropy": 5.776414012908935, + "epoch": 4.532015470562957, + "grad_norm": 1.2109375, + "learning_rate": 0.00034313604035536344, + "loss": 5.2398, + "mean_token_accuracy": 0.2140058010816574, + "num_tokens": 9590688.0, + "step": 5275 + }, + { + "entropy": 5.744070100784302, + "epoch": 4.5363128491620115, + "grad_norm": 1.1875, + "learning_rate": 0.0003428190948510687, + "loss": 5.2788, + "mean_token_accuracy": 0.2073332354426384, + "num_tokens": 9599209.0, + "step": 5280 + }, + { + "entropy": 5.789183044433594, + "epoch": 4.540610227761066, + "grad_norm": 1.2109375, + "learning_rate": 0.0003425020012569778, + "loss": 5.3154, + "mean_token_accuracy": 0.2052520453929901, + "num_tokens": 9608575.0, + "step": 5285 + }, + { + "entropy": 5.872993040084839, + "epoch": 4.544907606360121, + "grad_norm": 1.2265625, + "learning_rate": 0.00034218476026549665, + "loss": 5.2731, + "mean_token_accuracy": 0.205942103266716, + "num_tokens": 9617312.0, + "step": 5290 + }, + { + "entropy": 5.782846736907959, + "epoch": 4.549204984959175, + "grad_norm": 1.2578125, + "learning_rate": 0.0003418673725693524, + "loss": 5.26, + "mean_token_accuracy": 0.21283673942089082, + "num_tokens": 9626398.0, + "step": 5295 + }, + { + "entropy": 5.746619319915771, + "epoch": 4.55350236355823, + "grad_norm": 1.1875, + "learning_rate": 0.0003415498388615932, + "loss": 5.2346, + "mean_token_accuracy": 0.20255037099123002, + "num_tokens": 9635470.0, + "step": 5300 + }, + { + "entropy": 5.792229700088501, + "epoch": 4.557799742157284, + "grad_norm": 1.1640625, + "learning_rate": 0.0003412321598355857, + "loss": 5.1799, + "mean_token_accuracy": 0.21325116753578185, + "num_tokens": 9644728.0, + "step": 5305 + }, + { + "entropy": 5.7457763195037845, + "epoch": 4.562097120756339, + "grad_norm": 1.09375, + "learning_rate": 0.0003409143361850139, + "loss": 5.2343, + "mean_token_accuracy": 0.2107704222202301, + "num_tokens": 9654129.0, + "step": 5310 + }, + { + "entropy": 5.777891540527344, + "epoch": 4.566394499355393, + "grad_norm": 1.25, + "learning_rate": 0.0003405963686038775, + "loss": 5.3331, + "mean_token_accuracy": 0.20437313318252565, + "num_tokens": 9662648.0, + "step": 5315 + }, + { + "entropy": 5.8037111282348635, + "epoch": 4.570691877954448, + "grad_norm": 1.171875, + "learning_rate": 0.0003402782577864908, + "loss": 5.2993, + "mean_token_accuracy": 0.20600511133670807, + "num_tokens": 9672082.0, + "step": 5320 + }, + { + "entropy": 5.8148528099060055, + "epoch": 4.574989256553502, + "grad_norm": 1.25, + "learning_rate": 0.00033996000442748056, + "loss": 5.2167, + "mean_token_accuracy": 0.21099451184272766, + "num_tokens": 9681422.0, + "step": 5325 + }, + { + "entropy": 5.799546527862549, + "epoch": 4.579286635152557, + "grad_norm": 1.28125, + "learning_rate": 0.00033964160922178495, + "loss": 5.26, + "mean_token_accuracy": 0.20364574044942857, + "num_tokens": 9690675.0, + "step": 5330 + }, + { + "entropy": 5.7803350448608395, + "epoch": 4.5835840137516115, + "grad_norm": 1.140625, + "learning_rate": 0.0003393230728646518, + "loss": 5.2486, + "mean_token_accuracy": 0.2094307616353035, + "num_tokens": 9700200.0, + "step": 5335 + }, + { + "entropy": 5.7491453170776365, + "epoch": 4.587881392350666, + "grad_norm": 1.234375, + "learning_rate": 0.00033900439605163724, + "loss": 5.2404, + "mean_token_accuracy": 0.20623662322759628, + "num_tokens": 9709533.0, + "step": 5340 + }, + { + "entropy": 5.702243328094482, + "epoch": 4.592178770949721, + "grad_norm": 1.1015625, + "learning_rate": 0.00033868557947860407, + "loss": 5.2712, + "mean_token_accuracy": 0.21160826086997986, + "num_tokens": 9719250.0, + "step": 5345 + }, + { + "entropy": 5.789318418502807, + "epoch": 4.596476149548775, + "grad_norm": 1.1796875, + "learning_rate": 0.00033836662384172014, + "loss": 5.204, + "mean_token_accuracy": 0.21837505847215652, + "num_tokens": 9727837.0, + "step": 5350 + }, + { + "entropy": 5.77027473449707, + "epoch": 4.60077352814783, + "grad_norm": 1.1640625, + "learning_rate": 0.0003380475298374573, + "loss": 5.2919, + "mean_token_accuracy": 0.20920580327510835, + "num_tokens": 9737125.0, + "step": 5355 + }, + { + "entropy": 5.786106395721435, + "epoch": 4.605070906746884, + "grad_norm": 1.1328125, + "learning_rate": 0.000337728298162589, + "loss": 5.3048, + "mean_token_accuracy": 0.20057657063007356, + "num_tokens": 9746309.0, + "step": 5360 + }, + { + "entropy": 5.766927814483642, + "epoch": 4.609368285345939, + "grad_norm": 1.171875, + "learning_rate": 0.00033740892951418993, + "loss": 5.1898, + "mean_token_accuracy": 0.2109677717089653, + "num_tokens": 9755633.0, + "step": 5365 + }, + { + "entropy": 5.8201977729797365, + "epoch": 4.613665663944993, + "grad_norm": 1.2890625, + "learning_rate": 0.0003370894245896333, + "loss": 5.241, + "mean_token_accuracy": 0.20121043920516968, + "num_tokens": 9765179.0, + "step": 5370 + }, + { + "entropy": 5.838722229003906, + "epoch": 4.617963042544048, + "grad_norm": 1.359375, + "learning_rate": 0.00033676978408659047, + "loss": 5.2648, + "mean_token_accuracy": 0.20447903871536255, + "num_tokens": 9774085.0, + "step": 5375 + }, + { + "entropy": 5.819502544403076, + "epoch": 4.622260421143102, + "grad_norm": 1.1015625, + "learning_rate": 0.0003364500087030283, + "loss": 5.3734, + "mean_token_accuracy": 0.19501604586839677, + "num_tokens": 9784650.0, + "step": 5380 + }, + { + "entropy": 5.8356828689575195, + "epoch": 4.626557799742157, + "grad_norm": 1.109375, + "learning_rate": 0.00033613009913720845, + "loss": 5.2185, + "mean_token_accuracy": 0.2058563932776451, + "num_tokens": 9793947.0, + "step": 5385 + }, + { + "entropy": 5.723565244674683, + "epoch": 4.6308551783412115, + "grad_norm": 1.2265625, + "learning_rate": 0.00033581005608768563, + "loss": 5.206, + "mean_token_accuracy": 0.21180496960878373, + "num_tokens": 9803593.0, + "step": 5390 + }, + { + "entropy": 5.743806266784668, + "epoch": 4.635152556940266, + "grad_norm": 1.2109375, + "learning_rate": 0.0003354898802533058, + "loss": 5.2527, + "mean_token_accuracy": 0.2048086941242218, + "num_tokens": 9812295.0, + "step": 5395 + }, + { + "entropy": 5.786093854904175, + "epoch": 4.6394499355393215, + "grad_norm": 1.109375, + "learning_rate": 0.0003351695723332051, + "loss": 5.2582, + "mean_token_accuracy": 0.20891703963279723, + "num_tokens": 9820586.0, + "step": 5400 + }, + { + "entropy": 5.785850095748901, + "epoch": 4.643747314138375, + "grad_norm": 1.15625, + "learning_rate": 0.00033484913302680807, + "loss": 5.1887, + "mean_token_accuracy": 0.20835017114877702, + "num_tokens": 9829080.0, + "step": 5405 + }, + { + "entropy": 5.780792331695556, + "epoch": 4.648044692737431, + "grad_norm": 1.125, + "learning_rate": 0.00033452856303382595, + "loss": 5.2112, + "mean_token_accuracy": 0.20481612533330917, + "num_tokens": 9838421.0, + "step": 5410 + }, + { + "entropy": 5.704366683959961, + "epoch": 4.652342071336484, + "grad_norm": 1.3515625, + "learning_rate": 0.0003342078630542555, + "loss": 5.2078, + "mean_token_accuracy": 0.2090738072991371, + "num_tokens": 9847151.0, + "step": 5415 + }, + { + "entropy": 5.789543390274048, + "epoch": 4.65663944993554, + "grad_norm": 1.171875, + "learning_rate": 0.00033388703378837737, + "loss": 5.2403, + "mean_token_accuracy": 0.2085887834429741, + "num_tokens": 9856803.0, + "step": 5420 + }, + { + "entropy": 5.778923892974854, + "epoch": 4.660936828534594, + "grad_norm": 1.1875, + "learning_rate": 0.0003335660759367544, + "loss": 5.1568, + "mean_token_accuracy": 0.22275909930467605, + "num_tokens": 9865617.0, + "step": 5425 + }, + { + "entropy": 5.741341590881348, + "epoch": 4.665234207133649, + "grad_norm": 1.1171875, + "learning_rate": 0.00033324499020023025, + "loss": 5.227, + "mean_token_accuracy": 0.2128440573811531, + "num_tokens": 9875454.0, + "step": 5430 + }, + { + "entropy": 5.792864894866943, + "epoch": 4.669531585732703, + "grad_norm": 1.2109375, + "learning_rate": 0.0003329237772799277, + "loss": 5.2145, + "mean_token_accuracy": 0.21179936379194259, + "num_tokens": 9884770.0, + "step": 5435 + }, + { + "entropy": 5.753189039230347, + "epoch": 4.673828964331758, + "grad_norm": 1.2421875, + "learning_rate": 0.0003326024378772477, + "loss": 5.2166, + "mean_token_accuracy": 0.20966077744960784, + "num_tokens": 9893594.0, + "step": 5440 + }, + { + "entropy": 5.75540075302124, + "epoch": 4.678126342930812, + "grad_norm": 1.1328125, + "learning_rate": 0.0003322809726938667, + "loss": 5.3273, + "mean_token_accuracy": 0.19715422689914702, + "num_tokens": 9902260.0, + "step": 5445 + }, + { + "entropy": 5.785859155654907, + "epoch": 4.682423721529867, + "grad_norm": 1.2421875, + "learning_rate": 0.00033195938243173645, + "loss": 5.2191, + "mean_token_accuracy": 0.2127591535449028, + "num_tokens": 9911020.0, + "step": 5450 + }, + { + "entropy": 5.830314302444458, + "epoch": 4.6867211001289215, + "grad_norm": 1.359375, + "learning_rate": 0.0003316376677930814, + "loss": 5.2353, + "mean_token_accuracy": 0.2036338374018669, + "num_tokens": 9918696.0, + "step": 5455 + }, + { + "entropy": 5.73724684715271, + "epoch": 4.691018478727976, + "grad_norm": 1.21875, + "learning_rate": 0.0003313158294803977, + "loss": 5.2727, + "mean_token_accuracy": 0.19963512420654297, + "num_tokens": 9927638.0, + "step": 5460 + }, + { + "entropy": 5.745275354385376, + "epoch": 4.695315857327031, + "grad_norm": 1.21875, + "learning_rate": 0.00033099386819645176, + "loss": 5.2512, + "mean_token_accuracy": 0.20709264129400254, + "num_tokens": 9936969.0, + "step": 5465 + }, + { + "entropy": 5.7822166919708256, + "epoch": 4.699613235926085, + "grad_norm": 1.0546875, + "learning_rate": 0.0003306717846442782, + "loss": 5.1656, + "mean_token_accuracy": 0.20781334042549132, + "num_tokens": 9945229.0, + "step": 5470 + }, + { + "entropy": 5.7839744091033936, + "epoch": 4.70391061452514, + "grad_norm": 1.1640625, + "learning_rate": 0.0003303495795271788, + "loss": 5.1618, + "mean_token_accuracy": 0.2114815816283226, + "num_tokens": 9953759.0, + "step": 5475 + }, + { + "entropy": 5.725874710083008, + "epoch": 4.708207993124194, + "grad_norm": 1.1640625, + "learning_rate": 0.00033002725354872075, + "loss": 5.2698, + "mean_token_accuracy": 0.2067277103662491, + "num_tokens": 9962771.0, + "step": 5480 + }, + { + "entropy": 5.762161922454834, + "epoch": 4.712505371723249, + "grad_norm": 1.25, + "learning_rate": 0.00032970480741273514, + "loss": 5.2727, + "mean_token_accuracy": 0.19539556801319122, + "num_tokens": 9972481.0, + "step": 5485 + }, + { + "entropy": 5.821972513198853, + "epoch": 4.716802750322303, + "grad_norm": 1.4140625, + "learning_rate": 0.0003293822418233155, + "loss": 5.2272, + "mean_token_accuracy": 0.2026599943637848, + "num_tokens": 9980773.0, + "step": 5490 + }, + { + "entropy": 5.833219766616821, + "epoch": 4.721100128921358, + "grad_norm": 1.21875, + "learning_rate": 0.0003290595574848161, + "loss": 5.2993, + "mean_token_accuracy": 0.19704944640398026, + "num_tokens": 9989830.0, + "step": 5495 + }, + { + "entropy": 5.733156061172485, + "epoch": 4.725397507520412, + "grad_norm": 1.1796875, + "learning_rate": 0.0003287367551018505, + "loss": 5.2339, + "mean_token_accuracy": 0.2133151039481163, + "num_tokens": 9999234.0, + "step": 5500 + }, + { + "epoch": 4.725397507520412, + "eval_entropy": 5.560198612041302, + "eval_loss": 5.90402889251709, + "eval_mean_token_accuracy": 0.17905197752354382, + "eval_num_tokens": 9999234.0, + "eval_runtime": 2.2434, + "eval_samples_per_second": 1581.999, + "eval_steps_per_second": 197.917, + "step": 5500 + }, + { + "entropy": 5.795751619338989, + "epoch": 4.729694886119467, + "grad_norm": 1.09375, + "learning_rate": 0.0003284138353792903, + "loss": 5.2886, + "mean_token_accuracy": 0.2074010655283928, + "num_tokens": 10008671.0, + "step": 5505 + }, + { + "entropy": 5.721130895614624, + "epoch": 4.7339922647185215, + "grad_norm": 1.3203125, + "learning_rate": 0.0003280907990222628, + "loss": 5.2707, + "mean_token_accuracy": 0.2059103801846504, + "num_tokens": 10017170.0, + "step": 5510 + }, + { + "entropy": 5.723065376281738, + "epoch": 4.738289643317576, + "grad_norm": 1.3359375, + "learning_rate": 0.00032776764673615055, + "loss": 5.2724, + "mean_token_accuracy": 0.20495502203702926, + "num_tokens": 10025712.0, + "step": 5515 + }, + { + "entropy": 5.788556861877441, + "epoch": 4.742587021916631, + "grad_norm": 1.125, + "learning_rate": 0.0003274443792265888, + "loss": 5.2631, + "mean_token_accuracy": 0.21783117204904556, + "num_tokens": 10035297.0, + "step": 5520 + }, + { + "entropy": 5.810042524337769, + "epoch": 4.746884400515685, + "grad_norm": 1.2109375, + "learning_rate": 0.00032712099719946474, + "loss": 5.2512, + "mean_token_accuracy": 0.21279625296592714, + "num_tokens": 10043903.0, + "step": 5525 + }, + { + "entropy": 5.732596445083618, + "epoch": 4.75118177911474, + "grad_norm": 1.21875, + "learning_rate": 0.00032679750136091533, + "loss": 5.2747, + "mean_token_accuracy": 0.2008904069662094, + "num_tokens": 10053035.0, + "step": 5530 + }, + { + "entropy": 5.677971029281617, + "epoch": 4.755479157713794, + "grad_norm": 1.25, + "learning_rate": 0.0003264738924173262, + "loss": 5.2332, + "mean_token_accuracy": 0.21256235390901565, + "num_tokens": 10061911.0, + "step": 5535 + }, + { + "entropy": 5.743843460083008, + "epoch": 4.759776536312849, + "grad_norm": 1.203125, + "learning_rate": 0.00032615017107533, + "loss": 5.2502, + "mean_token_accuracy": 0.20980682075023652, + "num_tokens": 10070738.0, + "step": 5540 + }, + { + "entropy": 5.779987239837647, + "epoch": 4.764073914911903, + "grad_norm": 1.25, + "learning_rate": 0.0003258263380418047, + "loss": 5.2579, + "mean_token_accuracy": 0.21013425886631013, + "num_tokens": 10080638.0, + "step": 5545 + }, + { + "entropy": 5.874662113189697, + "epoch": 4.768371293510958, + "grad_norm": 1.265625, + "learning_rate": 0.00032550239402387226, + "loss": 5.2999, + "mean_token_accuracy": 0.20025704056024551, + "num_tokens": 10089429.0, + "step": 5550 + }, + { + "entropy": 5.714057350158692, + "epoch": 4.772668672110013, + "grad_norm": 1.203125, + "learning_rate": 0.00032517833972889695, + "loss": 5.1752, + "mean_token_accuracy": 0.21451522409915924, + "num_tokens": 10098109.0, + "step": 5555 + }, + { + "entropy": 5.8082190990448, + "epoch": 4.776966050709067, + "grad_norm": 1.265625, + "learning_rate": 0.00032485417586448375, + "loss": 5.2778, + "mean_token_accuracy": 0.207219435274601, + "num_tokens": 10106808.0, + "step": 5560 + }, + { + "entropy": 5.796800899505615, + "epoch": 4.781263429308122, + "grad_norm": 1.3203125, + "learning_rate": 0.000324529903138477, + "loss": 5.2739, + "mean_token_accuracy": 0.20491307973861694, + "num_tokens": 10116372.0, + "step": 5565 + }, + { + "entropy": 5.746866130828858, + "epoch": 4.785560807907177, + "grad_norm": 1.1796875, + "learning_rate": 0.0003242055222589587, + "loss": 5.1874, + "mean_token_accuracy": 0.21595880538225173, + "num_tokens": 10125256.0, + "step": 5570 + }, + { + "entropy": 5.781742668151855, + "epoch": 4.7898581865062315, + "grad_norm": 1.1796875, + "learning_rate": 0.000323881033934247, + "loss": 5.3216, + "mean_token_accuracy": 0.19934289157390594, + "num_tokens": 10134784.0, + "step": 5575 + }, + { + "entropy": 5.8426214218139645, + "epoch": 4.794155565105286, + "grad_norm": 1.2578125, + "learning_rate": 0.00032355643887289486, + "loss": 5.2638, + "mean_token_accuracy": 0.20878719687461852, + "num_tokens": 10144324.0, + "step": 5580 + }, + { + "entropy": 5.8031574249267575, + "epoch": 4.798452943704341, + "grad_norm": 1.1953125, + "learning_rate": 0.0003232317377836881, + "loss": 5.291, + "mean_token_accuracy": 0.20265911519527435, + "num_tokens": 10152866.0, + "step": 5585 + }, + { + "entropy": 5.698230791091919, + "epoch": 4.802750322303395, + "grad_norm": 1.15625, + "learning_rate": 0.000322906931375644, + "loss": 5.206, + "mean_token_accuracy": 0.20940036773681642, + "num_tokens": 10162457.0, + "step": 5590 + }, + { + "entropy": 5.738978576660156, + "epoch": 4.80704770090245, + "grad_norm": 1.1953125, + "learning_rate": 0.00032258202035801, + "loss": 5.2816, + "mean_token_accuracy": 0.2019842505455017, + "num_tokens": 10171604.0, + "step": 5595 + }, + { + "entropy": 5.848924446105957, + "epoch": 4.811345079501504, + "grad_norm": 1.140625, + "learning_rate": 0.000322257005440262, + "loss": 5.2371, + "mean_token_accuracy": 0.2144896060228348, + "num_tokens": 10180762.0, + "step": 5600 + }, + { + "entropy": 5.717645740509033, + "epoch": 4.815642458100559, + "grad_norm": 1.171875, + "learning_rate": 0.0003219318873321025, + "loss": 5.1608, + "mean_token_accuracy": 0.22832754403352737, + "num_tokens": 10189122.0, + "step": 5605 + }, + { + "entropy": 5.69571099281311, + "epoch": 4.819939836699613, + "grad_norm": 1.15625, + "learning_rate": 0.00032160666674345954, + "loss": 5.2763, + "mean_token_accuracy": 0.19781464338302612, + "num_tokens": 10197280.0, + "step": 5610 + }, + { + "entropy": 5.781878519058227, + "epoch": 4.824237215298668, + "grad_norm": 1.1171875, + "learning_rate": 0.00032128134438448504, + "loss": 5.3146, + "mean_token_accuracy": 0.20028045326471328, + "num_tokens": 10207507.0, + "step": 5615 + }, + { + "entropy": 5.825538921356201, + "epoch": 4.828534593897722, + "grad_norm": 1.2421875, + "learning_rate": 0.00032095592096555284, + "loss": 5.2795, + "mean_token_accuracy": 0.2031347781419754, + "num_tokens": 10217584.0, + "step": 5620 + }, + { + "entropy": 5.776251411437988, + "epoch": 4.832831972496777, + "grad_norm": 1.140625, + "learning_rate": 0.0003206303971972577, + "loss": 5.216, + "mean_token_accuracy": 0.2127404496073723, + "num_tokens": 10226388.0, + "step": 5625 + }, + { + "entropy": 5.74369969367981, + "epoch": 4.8371293510958315, + "grad_norm": 1.234375, + "learning_rate": 0.0003203047737904134, + "loss": 5.2346, + "mean_token_accuracy": 0.21056682765483856, + "num_tokens": 10235333.0, + "step": 5630 + }, + { + "entropy": 5.7578212261199955, + "epoch": 4.841426729694886, + "grad_norm": 1.2421875, + "learning_rate": 0.00031997905145605135, + "loss": 5.285, + "mean_token_accuracy": 0.2008419454097748, + "num_tokens": 10243985.0, + "step": 5635 + }, + { + "entropy": 5.800904607772827, + "epoch": 4.845724108293941, + "grad_norm": 1.2578125, + "learning_rate": 0.00031965323090541874, + "loss": 5.2762, + "mean_token_accuracy": 0.20055779963731765, + "num_tokens": 10252968.0, + "step": 5640 + }, + { + "entropy": 5.7787864208221436, + "epoch": 4.850021486892995, + "grad_norm": 1.234375, + "learning_rate": 0.0003193273128499777, + "loss": 5.1509, + "mean_token_accuracy": 0.20814335197210312, + "num_tokens": 10261890.0, + "step": 5645 + }, + { + "entropy": 5.755404710769653, + "epoch": 4.85431886549205, + "grad_norm": 1.234375, + "learning_rate": 0.00031900129800140287, + "loss": 5.264, + "mean_token_accuracy": 0.2088309958577156, + "num_tokens": 10271363.0, + "step": 5650 + }, + { + "entropy": 5.778644323348999, + "epoch": 4.858616244091104, + "grad_norm": 1.3671875, + "learning_rate": 0.00031867518707158027, + "loss": 5.3037, + "mean_token_accuracy": 0.20097779482603073, + "num_tokens": 10280608.0, + "step": 5655 + }, + { + "entropy": 5.763189840316772, + "epoch": 4.862913622690159, + "grad_norm": 1.21875, + "learning_rate": 0.000318348980772606, + "loss": 5.2226, + "mean_token_accuracy": 0.2084927350282669, + "num_tokens": 10289972.0, + "step": 5660 + }, + { + "entropy": 5.852762603759766, + "epoch": 4.867211001289213, + "grad_norm": 1.328125, + "learning_rate": 0.00031802267981678414, + "loss": 5.2859, + "mean_token_accuracy": 0.2053852140903473, + "num_tokens": 10298740.0, + "step": 5665 + }, + { + "entropy": 5.785357904434204, + "epoch": 4.871508379888268, + "grad_norm": 1.09375, + "learning_rate": 0.00031769628491662563, + "loss": 5.2421, + "mean_token_accuracy": 0.2079989120364189, + "num_tokens": 10307706.0, + "step": 5670 + }, + { + "entropy": 5.791097354888916, + "epoch": 4.8758057584873224, + "grad_norm": 1.09375, + "learning_rate": 0.00031736979678484634, + "loss": 5.2811, + "mean_token_accuracy": 0.20809438675642014, + "num_tokens": 10317549.0, + "step": 5675 + }, + { + "entropy": 5.737194919586182, + "epoch": 4.880103137086377, + "grad_norm": 1.1796875, + "learning_rate": 0.00031704321613436597, + "loss": 5.3278, + "mean_token_accuracy": 0.2005993828177452, + "num_tokens": 10327681.0, + "step": 5680 + }, + { + "entropy": 5.695877456665039, + "epoch": 4.8844005156854315, + "grad_norm": 1.1015625, + "learning_rate": 0.0003167165436783061, + "loss": 5.2592, + "mean_token_accuracy": 0.20781303942203522, + "num_tokens": 10336261.0, + "step": 5685 + }, + { + "entropy": 5.710936450958252, + "epoch": 4.888697894284486, + "grad_norm": 1.2421875, + "learning_rate": 0.00031638978012998875, + "loss": 5.167, + "mean_token_accuracy": 0.21940137445926666, + "num_tokens": 10344770.0, + "step": 5690 + }, + { + "entropy": 5.783964347839356, + "epoch": 4.892995272883541, + "grad_norm": 1.171875, + "learning_rate": 0.000316062926202935, + "loss": 5.3284, + "mean_token_accuracy": 0.19456012099981307, + "num_tokens": 10354246.0, + "step": 5695 + }, + { + "entropy": 5.779203987121582, + "epoch": 4.897292651482596, + "grad_norm": 1.3203125, + "learning_rate": 0.0003157359826108632, + "loss": 5.2356, + "mean_token_accuracy": 0.2105637699365616, + "num_tokens": 10362693.0, + "step": 5700 + }, + { + "entropy": 5.798118543624878, + "epoch": 4.90159003008165, + "grad_norm": 1.203125, + "learning_rate": 0.00031540895006768727, + "loss": 5.247, + "mean_token_accuracy": 0.20408895760774612, + "num_tokens": 10371639.0, + "step": 5705 + }, + { + "entropy": 5.757362174987793, + "epoch": 4.905887408680705, + "grad_norm": 1.1875, + "learning_rate": 0.0003150818292875158, + "loss": 5.2643, + "mean_token_accuracy": 0.20622867792844773, + "num_tokens": 10381237.0, + "step": 5710 + }, + { + "entropy": 5.789800691604614, + "epoch": 4.91018478727976, + "grad_norm": 1.234375, + "learning_rate": 0.0003147546209846497, + "loss": 5.2454, + "mean_token_accuracy": 0.2081000551581383, + "num_tokens": 10389932.0, + "step": 5715 + }, + { + "entropy": 5.681432151794434, + "epoch": 4.914482165878814, + "grad_norm": 1.21875, + "learning_rate": 0.0003144273258735812, + "loss": 5.1358, + "mean_token_accuracy": 0.2108309730887413, + "num_tokens": 10398938.0, + "step": 5720 + }, + { + "entropy": 5.736886119842529, + "epoch": 4.918779544477869, + "grad_norm": 1.59375, + "learning_rate": 0.0003140999446689919, + "loss": 5.2497, + "mean_token_accuracy": 0.20110664814710616, + "num_tokens": 10407980.0, + "step": 5725 + }, + { + "entropy": 5.738250875473023, + "epoch": 4.923076923076923, + "grad_norm": 1.421875, + "learning_rate": 0.0003137724780857516, + "loss": 5.3108, + "mean_token_accuracy": 0.20317183136940004, + "num_tokens": 10416990.0, + "step": 5730 + }, + { + "entropy": 5.827092552185059, + "epoch": 4.927374301675978, + "grad_norm": 1.078125, + "learning_rate": 0.00031344492683891634, + "loss": 5.3121, + "mean_token_accuracy": 0.20660584568977355, + "num_tokens": 10426573.0, + "step": 5735 + }, + { + "entropy": 5.835918712615967, + "epoch": 4.931671680275032, + "grad_norm": 1.265625, + "learning_rate": 0.0003131172916437272, + "loss": 5.2782, + "mean_token_accuracy": 0.20372102856636048, + "num_tokens": 10435162.0, + "step": 5740 + }, + { + "entropy": 5.760685634613037, + "epoch": 4.935969058874087, + "grad_norm": 1.2890625, + "learning_rate": 0.00031278957321560845, + "loss": 5.2918, + "mean_token_accuracy": 0.20650595277547837, + "num_tokens": 10444374.0, + "step": 5745 + }, + { + "entropy": 5.827428340911865, + "epoch": 4.9402664374731415, + "grad_norm": 1.4140625, + "learning_rate": 0.00031246177227016615, + "loss": 5.2964, + "mean_token_accuracy": 0.19701409637928008, + "num_tokens": 10452679.0, + "step": 5750 + }, + { + "entropy": 5.766043090820313, + "epoch": 4.944563816072196, + "grad_norm": 1.1640625, + "learning_rate": 0.00031213388952318653, + "loss": 5.2579, + "mean_token_accuracy": 0.21266984939575195, + "num_tokens": 10461801.0, + "step": 5755 + }, + { + "entropy": 5.774032258987427, + "epoch": 4.948861194671251, + "grad_norm": 1.171875, + "learning_rate": 0.0003118059256906345, + "loss": 5.2484, + "mean_token_accuracy": 0.20315881073474884, + "num_tokens": 10471176.0, + "step": 5760 + }, + { + "entropy": 5.80142560005188, + "epoch": 4.953158573270305, + "grad_norm": 1.28125, + "learning_rate": 0.00031147788148865204, + "loss": 5.2972, + "mean_token_accuracy": 0.1972917288541794, + "num_tokens": 10480403.0, + "step": 5765 + }, + { + "entropy": 5.776571130752563, + "epoch": 4.95745595186936, + "grad_norm": 1.1953125, + "learning_rate": 0.0003111497576335564, + "loss": 5.2465, + "mean_token_accuracy": 0.20880960077047347, + "num_tokens": 10489574.0, + "step": 5770 + }, + { + "entropy": 5.754300117492676, + "epoch": 4.961753330468414, + "grad_norm": 1.0078125, + "learning_rate": 0.0003108215548418391, + "loss": 5.2601, + "mean_token_accuracy": 0.2078449085354805, + "num_tokens": 10499631.0, + "step": 5775 + }, + { + "entropy": 5.760015392303467, + "epoch": 4.966050709067469, + "grad_norm": 1.46875, + "learning_rate": 0.0003104932738301637, + "loss": 5.2392, + "mean_token_accuracy": 0.20401757657527925, + "num_tokens": 10508128.0, + "step": 5780 + }, + { + "entropy": 5.7455097198486325, + "epoch": 4.970348087666523, + "grad_norm": 1.1484375, + "learning_rate": 0.00031016491531536477, + "loss": 5.209, + "mean_token_accuracy": 0.2097795397043228, + "num_tokens": 10517544.0, + "step": 5785 + }, + { + "entropy": 5.734928035736084, + "epoch": 4.974645466265578, + "grad_norm": 1.1953125, + "learning_rate": 0.0003098364800144462, + "loss": 5.2651, + "mean_token_accuracy": 0.21147863417863846, + "num_tokens": 10526244.0, + "step": 5790 + }, + { + "entropy": 5.814940166473389, + "epoch": 4.9789428448646325, + "grad_norm": 1.234375, + "learning_rate": 0.0003095079686445792, + "loss": 5.3519, + "mean_token_accuracy": 0.20624426007270813, + "num_tokens": 10535887.0, + "step": 5795 + }, + { + "entropy": 5.786068773269653, + "epoch": 4.983240223463687, + "grad_norm": 1.1484375, + "learning_rate": 0.00030917938192310146, + "loss": 5.1931, + "mean_token_accuracy": 0.21397653371095657, + "num_tokens": 10544420.0, + "step": 5800 + }, + { + "entropy": 5.779589319229126, + "epoch": 4.9875376020627415, + "grad_norm": 1.1640625, + "learning_rate": 0.00030885072056751494, + "loss": 5.2765, + "mean_token_accuracy": 0.20363772213459014, + "num_tokens": 10553114.0, + "step": 5805 + }, + { + "entropy": 5.727208232879638, + "epoch": 4.991834980661796, + "grad_norm": 1.1328125, + "learning_rate": 0.00030852198529548476, + "loss": 5.3007, + "mean_token_accuracy": 0.20537486374378205, + "num_tokens": 10562272.0, + "step": 5810 + }, + { + "entropy": 5.76721887588501, + "epoch": 4.996132359260851, + "grad_norm": 1.2109375, + "learning_rate": 0.0003081931768248373, + "loss": 5.2452, + "mean_token_accuracy": 0.20829617381095886, + "num_tokens": 10571757.0, + "step": 5815 + }, + { + "entropy": 5.730508645375569, + "epoch": 5.0, + "grad_norm": 1.8125, + "learning_rate": 0.0003078642958735588, + "loss": 5.2074, + "mean_token_accuracy": 0.21393800609641606, + "num_tokens": 10579660.0, + "step": 5820 + }, + { + "entropy": 5.796049404144287, + "epoch": 5.0042973785990545, + "grad_norm": 1.2265625, + "learning_rate": 0.00030753534315979393, + "loss": 5.0885, + "mean_token_accuracy": 0.21603988260030746, + "num_tokens": 10589139.0, + "step": 5825 + }, + { + "entropy": 5.747597026824951, + "epoch": 5.008594757198109, + "grad_norm": 1.28125, + "learning_rate": 0.0003072063194018438, + "loss": 4.8885, + "mean_token_accuracy": 0.23525934666395187, + "num_tokens": 10597915.0, + "step": 5830 + }, + { + "entropy": 5.772410535812378, + "epoch": 5.012892135797164, + "grad_norm": 1.203125, + "learning_rate": 0.0003068772253181648, + "loss": 5.0912, + "mean_token_accuracy": 0.21257753819227218, + "num_tokens": 10606491.0, + "step": 5835 + }, + { + "entropy": 5.788251781463623, + "epoch": 5.017189514396218, + "grad_norm": 1.0859375, + "learning_rate": 0.0003065480616273671, + "loss": 5.0793, + "mean_token_accuracy": 0.21656766831874846, + "num_tokens": 10615852.0, + "step": 5840 + }, + { + "entropy": 5.813474178314209, + "epoch": 5.021486892995273, + "grad_norm": 1.28125, + "learning_rate": 0.0003062188290482123, + "loss": 5.0668, + "mean_token_accuracy": 0.21779369860887526, + "num_tokens": 10625442.0, + "step": 5845 + }, + { + "entropy": 5.729433870315551, + "epoch": 5.025784271594327, + "grad_norm": 1.0859375, + "learning_rate": 0.00030588952829961304, + "loss": 4.9891, + "mean_token_accuracy": 0.23263396918773652, + "num_tokens": 10634972.0, + "step": 5850 + }, + { + "entropy": 5.756176233291626, + "epoch": 5.030081650193382, + "grad_norm": 1.265625, + "learning_rate": 0.0003055601601006303, + "loss": 4.9781, + "mean_token_accuracy": 0.22352562844753265, + "num_tokens": 10644487.0, + "step": 5855 + }, + { + "entropy": 5.775532484054565, + "epoch": 5.034379028792436, + "grad_norm": 1.2734375, + "learning_rate": 0.0003052307251704728, + "loss": 5.0044, + "mean_token_accuracy": 0.24283600449562073, + "num_tokens": 10654144.0, + "step": 5860 + }, + { + "entropy": 5.713040828704834, + "epoch": 5.038676407391491, + "grad_norm": 1.4453125, + "learning_rate": 0.0003049012242284946, + "loss": 5.0475, + "mean_token_accuracy": 0.21910769790410994, + "num_tokens": 10663023.0, + "step": 5865 + }, + { + "entropy": 5.778925609588623, + "epoch": 5.0429737859905455, + "grad_norm": 1.2109375, + "learning_rate": 0.0003045716579941941, + "loss": 5.0938, + "mean_token_accuracy": 0.21345814913511277, + "num_tokens": 10672001.0, + "step": 5870 + }, + { + "entropy": 5.738844108581543, + "epoch": 5.0472711645896, + "grad_norm": 1.1015625, + "learning_rate": 0.00030424202718721215, + "loss": 5.0557, + "mean_token_accuracy": 0.22208653390407562, + "num_tokens": 10682654.0, + "step": 5875 + }, + { + "entropy": 5.726908826828003, + "epoch": 5.051568543188655, + "grad_norm": 1.296875, + "learning_rate": 0.00030391233252733085, + "loss": 5.0485, + "mean_token_accuracy": 0.22415625005960466, + "num_tokens": 10691429.0, + "step": 5880 + }, + { + "entropy": 5.722217750549317, + "epoch": 5.055865921787709, + "grad_norm": 1.171875, + "learning_rate": 0.00030358257473447144, + "loss": 5.0328, + "mean_token_accuracy": 0.22570680379867553, + "num_tokens": 10701130.0, + "step": 5885 + }, + { + "entropy": 5.732234096527099, + "epoch": 5.060163300386764, + "grad_norm": 1.234375, + "learning_rate": 0.00030325275452869316, + "loss": 4.9798, + "mean_token_accuracy": 0.23107673078775406, + "num_tokens": 10709779.0, + "step": 5890 + }, + { + "entropy": 5.676132869720459, + "epoch": 5.064460678985819, + "grad_norm": 1.21875, + "learning_rate": 0.00030292287263019153, + "loss": 5.0472, + "mean_token_accuracy": 0.2280441015958786, + "num_tokens": 10718795.0, + "step": 5895 + }, + { + "entropy": 5.61620192527771, + "epoch": 5.068758057584874, + "grad_norm": 1.25, + "learning_rate": 0.00030259292975929675, + "loss": 4.9615, + "mean_token_accuracy": 0.23248845636844634, + "num_tokens": 10728202.0, + "step": 5900 + }, + { + "entropy": 5.742444896697998, + "epoch": 5.073055436183928, + "grad_norm": 1.1171875, + "learning_rate": 0.0003022629266364723, + "loss": 4.9959, + "mean_token_accuracy": 0.22648665606975554, + "num_tokens": 10737050.0, + "step": 5905 + }, + { + "entropy": 5.765759754180908, + "epoch": 5.077352814782983, + "grad_norm": 1.328125, + "learning_rate": 0.00030193286398231276, + "loss": 5.0042, + "mean_token_accuracy": 0.23227498382329942, + "num_tokens": 10745261.0, + "step": 5910 + }, + { + "entropy": 5.716326808929443, + "epoch": 5.081650193382037, + "grad_norm": 1.21875, + "learning_rate": 0.00030160274251754337, + "loss": 5.0737, + "mean_token_accuracy": 0.22183098196983336, + "num_tokens": 10755008.0, + "step": 5915 + }, + { + "entropy": 5.730919981002808, + "epoch": 5.085947571981092, + "grad_norm": 1.2421875, + "learning_rate": 0.00030127256296301724, + "loss": 5.0783, + "mean_token_accuracy": 0.2172458812594414, + "num_tokens": 10763951.0, + "step": 5920 + }, + { + "entropy": 5.725339317321778, + "epoch": 5.090244950580146, + "grad_norm": 1.1484375, + "learning_rate": 0.0003009423260397148, + "loss": 5.0167, + "mean_token_accuracy": 0.22735593020915984, + "num_tokens": 10772770.0, + "step": 5925 + }, + { + "entropy": 5.728106307983398, + "epoch": 5.094542329179201, + "grad_norm": 1.1953125, + "learning_rate": 0.00030061203246874125, + "loss": 5.0864, + "mean_token_accuracy": 0.21524910628795624, + "num_tokens": 10781827.0, + "step": 5930 + }, + { + "entropy": 5.795179605484009, + "epoch": 5.0988397077782555, + "grad_norm": 1.3125, + "learning_rate": 0.00030028168297132593, + "loss": 5.1495, + "mean_token_accuracy": 0.2189791604876518, + "num_tokens": 10792321.0, + "step": 5935 + }, + { + "entropy": 5.710354375839233, + "epoch": 5.10313708637731, + "grad_norm": 1.328125, + "learning_rate": 0.0002999512782688199, + "loss": 5.1125, + "mean_token_accuracy": 0.22242486327886582, + "num_tokens": 10801689.0, + "step": 5940 + }, + { + "entropy": 5.7583554744720455, + "epoch": 5.1074344649763646, + "grad_norm": 1.1953125, + "learning_rate": 0.0002996208190826951, + "loss": 5.0227, + "mean_token_accuracy": 0.2247595891356468, + "num_tokens": 10810513.0, + "step": 5945 + }, + { + "entropy": 5.741311025619507, + "epoch": 5.111731843575419, + "grad_norm": 1.171875, + "learning_rate": 0.00029929030613454227, + "loss": 4.992, + "mean_token_accuracy": 0.2273296982049942, + "num_tokens": 10819581.0, + "step": 5950 + }, + { + "entropy": 5.697500371932984, + "epoch": 5.116029222174474, + "grad_norm": 1.2109375, + "learning_rate": 0.0002989597401460697, + "loss": 4.9943, + "mean_token_accuracy": 0.2291257008910179, + "num_tokens": 10828139.0, + "step": 5955 + }, + { + "entropy": 5.706188678741455, + "epoch": 5.120326600773528, + "grad_norm": 1.34375, + "learning_rate": 0.00029862912183910105, + "loss": 5.0124, + "mean_token_accuracy": 0.22806197851896287, + "num_tokens": 10836256.0, + "step": 5960 + }, + { + "entropy": 5.734335613250733, + "epoch": 5.124623979372583, + "grad_norm": 1.2109375, + "learning_rate": 0.00029829845193557496, + "loss": 5.0376, + "mean_token_accuracy": 0.22361504435539245, + "num_tokens": 10846255.0, + "step": 5965 + }, + { + "entropy": 5.714362859725952, + "epoch": 5.128921357971637, + "grad_norm": 1.2578125, + "learning_rate": 0.0002979677311575421, + "loss": 5.0333, + "mean_token_accuracy": 0.23065778315067292, + "num_tokens": 10855546.0, + "step": 5970 + }, + { + "entropy": 5.773637056350708, + "epoch": 5.133218736570692, + "grad_norm": 1.3125, + "learning_rate": 0.0002976369602271646, + "loss": 5.1018, + "mean_token_accuracy": 0.22361014485359193, + "num_tokens": 10864417.0, + "step": 5975 + }, + { + "entropy": 5.773756456375122, + "epoch": 5.137516115169746, + "grad_norm": 1.15625, + "learning_rate": 0.0002973061398667138, + "loss": 5.0901, + "mean_token_accuracy": 0.22015978991985322, + "num_tokens": 10874527.0, + "step": 5980 + }, + { + "entropy": 5.735579776763916, + "epoch": 5.141813493768801, + "grad_norm": 1.296875, + "learning_rate": 0.00029697527079856916, + "loss": 5.0971, + "mean_token_accuracy": 0.2176682710647583, + "num_tokens": 10883486.0, + "step": 5985 + }, + { + "entropy": 5.7296717166900635, + "epoch": 5.1461108723678555, + "grad_norm": 1.296875, + "learning_rate": 0.00029664435374521665, + "loss": 4.9762, + "mean_token_accuracy": 0.22494551688432693, + "num_tokens": 10891972.0, + "step": 5990 + }, + { + "entropy": 5.744566440582275, + "epoch": 5.15040825096691, + "grad_norm": 1.21875, + "learning_rate": 0.00029631338942924664, + "loss": 5.0027, + "mean_token_accuracy": 0.23141432255506517, + "num_tokens": 10901350.0, + "step": 5995 + }, + { + "entropy": 5.698413944244384, + "epoch": 5.154705629565965, + "grad_norm": 1.3671875, + "learning_rate": 0.0002959823785733531, + "loss": 4.9972, + "mean_token_accuracy": 0.22052146643400192, + "num_tokens": 10910114.0, + "step": 6000 + }, + { + "epoch": 5.154705629565965, + "eval_entropy": 5.505302819582793, + "eval_loss": 5.905168533325195, + "eval_mean_token_accuracy": 0.1798398159444332, + "eval_num_tokens": 10910114.0, + "eval_runtime": 2.0504, + "eval_samples_per_second": 1730.888, + "eval_steps_per_second": 216.544, + "step": 6000 + }, + { + "entropy": 5.703116512298584, + "epoch": 5.159003008165019, + "grad_norm": 1.328125, + "learning_rate": 0.0002956513219003312, + "loss": 5.0708, + "mean_token_accuracy": 0.22419020235538484, + "num_tokens": 10919781.0, + "step": 6005 + }, + { + "entropy": 5.713309383392334, + "epoch": 5.163300386764074, + "grad_norm": 1.21875, + "learning_rate": 0.00029532022013307666, + "loss": 5.0656, + "mean_token_accuracy": 0.2243061915040016, + "num_tokens": 10929561.0, + "step": 6010 + }, + { + "entropy": 5.7261634349823, + "epoch": 5.167597765363128, + "grad_norm": 1.171875, + "learning_rate": 0.00029498907399458325, + "loss": 5.0387, + "mean_token_accuracy": 0.22178855687379836, + "num_tokens": 10939123.0, + "step": 6015 + }, + { + "entropy": 5.791707181930542, + "epoch": 5.171895143962183, + "grad_norm": 1.265625, + "learning_rate": 0.0002946578842079418, + "loss": 5.0776, + "mean_token_accuracy": 0.22488960474729539, + "num_tokens": 10947990.0, + "step": 6020 + }, + { + "entropy": 5.73942985534668, + "epoch": 5.176192522561237, + "grad_norm": 1.3515625, + "learning_rate": 0.0002943266514963384, + "loss": 4.9908, + "mean_token_accuracy": 0.2356729969382286, + "num_tokens": 10956569.0, + "step": 6025 + }, + { + "entropy": 5.6919941902160645, + "epoch": 5.180489901160292, + "grad_norm": 1.3515625, + "learning_rate": 0.0002939953765830529, + "loss": 5.0481, + "mean_token_accuracy": 0.2131089001893997, + "num_tokens": 10965466.0, + "step": 6030 + }, + { + "entropy": 5.7069274425506595, + "epoch": 5.184787279759346, + "grad_norm": 1.1796875, + "learning_rate": 0.00029366406019145735, + "loss": 5.0639, + "mean_token_accuracy": 0.21831514239311217, + "num_tokens": 10975051.0, + "step": 6035 + }, + { + "entropy": 5.679154253005981, + "epoch": 5.189084658358402, + "grad_norm": 1.3046875, + "learning_rate": 0.0002933327030450143, + "loss": 4.9649, + "mean_token_accuracy": 0.22860484719276428, + "num_tokens": 10983940.0, + "step": 6040 + }, + { + "entropy": 5.743462324142456, + "epoch": 5.193382036957456, + "grad_norm": 1.2734375, + "learning_rate": 0.00029300130586727545, + "loss": 5.0794, + "mean_token_accuracy": 0.2147662729024887, + "num_tokens": 10994029.0, + "step": 6045 + }, + { + "entropy": 5.774721336364746, + "epoch": 5.197679415556511, + "grad_norm": 1.1640625, + "learning_rate": 0.00029266986938187943, + "loss": 5.1232, + "mean_token_accuracy": 0.2085681289434433, + "num_tokens": 11003616.0, + "step": 6050 + }, + { + "entropy": 5.690842819213867, + "epoch": 5.2019767941555655, + "grad_norm": 1.2265625, + "learning_rate": 0.0002923383943125514, + "loss": 5.0045, + "mean_token_accuracy": 0.22171231657266616, + "num_tokens": 11012068.0, + "step": 6055 + }, + { + "entropy": 5.7006793975830075, + "epoch": 5.20627417275462, + "grad_norm": 1.3671875, + "learning_rate": 0.0002920068813831002, + "loss": 5.0307, + "mean_token_accuracy": 0.22483575940132142, + "num_tokens": 11020510.0, + "step": 6060 + }, + { + "entropy": 5.684882783889771, + "epoch": 5.210571551353675, + "grad_norm": 1.21875, + "learning_rate": 0.0002916753313174178, + "loss": 5.0806, + "mean_token_accuracy": 0.21965396404266357, + "num_tokens": 11029804.0, + "step": 6065 + }, + { + "entropy": 5.7044366836547855, + "epoch": 5.214868929952729, + "grad_norm": 1.296875, + "learning_rate": 0.0002913437448394768, + "loss": 5.0667, + "mean_token_accuracy": 0.22526153475046157, + "num_tokens": 11038586.0, + "step": 6070 + }, + { + "entropy": 5.8208294868469235, + "epoch": 5.219166308551784, + "grad_norm": 1.1953125, + "learning_rate": 0.00029101212267332955, + "loss": 5.1221, + "mean_token_accuracy": 0.22288703322410583, + "num_tokens": 11048240.0, + "step": 6075 + }, + { + "entropy": 5.76058988571167, + "epoch": 5.223463687150838, + "grad_norm": 1.1484375, + "learning_rate": 0.00029068046554310637, + "loss": 5.0108, + "mean_token_accuracy": 0.21949543207883834, + "num_tokens": 11056703.0, + "step": 6080 + }, + { + "entropy": 5.705720090866089, + "epoch": 5.227761065749893, + "grad_norm": 1.109375, + "learning_rate": 0.0002903487741730139, + "loss": 5.048, + "mean_token_accuracy": 0.21768798530101777, + "num_tokens": 11066246.0, + "step": 6085 + }, + { + "entropy": 5.734841060638428, + "epoch": 5.232058444348947, + "grad_norm": 1.296875, + "learning_rate": 0.00029001704928733354, + "loss": 5.0935, + "mean_token_accuracy": 0.22335942834615707, + "num_tokens": 11075277.0, + "step": 6090 + }, + { + "entropy": 5.6772912502288815, + "epoch": 5.236355822948002, + "grad_norm": 1.234375, + "learning_rate": 0.0002896852916104198, + "loss": 4.9675, + "mean_token_accuracy": 0.23530965745449067, + "num_tokens": 11083759.0, + "step": 6095 + }, + { + "entropy": 5.768802165985107, + "epoch": 5.240653201547056, + "grad_norm": 1.28125, + "learning_rate": 0.0002893535018666988, + "loss": 4.9656, + "mean_token_accuracy": 0.22874611467123032, + "num_tokens": 11091960.0, + "step": 6100 + }, + { + "entropy": 5.67240538597107, + "epoch": 5.244950580146111, + "grad_norm": 1.4453125, + "learning_rate": 0.00028902168078066674, + "loss": 5.0937, + "mean_token_accuracy": 0.2179962605237961, + "num_tokens": 11101134.0, + "step": 6105 + }, + { + "entropy": 5.707141494750976, + "epoch": 5.2492479587451655, + "grad_norm": 1.296875, + "learning_rate": 0.0002886898290768883, + "loss": 5.0423, + "mean_token_accuracy": 0.22455137670040132, + "num_tokens": 11110282.0, + "step": 6110 + }, + { + "entropy": 5.73919997215271, + "epoch": 5.25354533734422, + "grad_norm": 1.25, + "learning_rate": 0.000288357947479995, + "loss": 5.1048, + "mean_token_accuracy": 0.22395750284194946, + "num_tokens": 11119591.0, + "step": 6115 + }, + { + "entropy": 5.717151689529419, + "epoch": 5.257842715943275, + "grad_norm": 1.125, + "learning_rate": 0.00028802603671468347, + "loss": 5.093, + "mean_token_accuracy": 0.21745581328868865, + "num_tokens": 11129164.0, + "step": 6120 + }, + { + "entropy": 5.73230209350586, + "epoch": 5.262140094542329, + "grad_norm": 1.234375, + "learning_rate": 0.00028769409750571413, + "loss": 5.051, + "mean_token_accuracy": 0.22113343924283982, + "num_tokens": 11137973.0, + "step": 6125 + }, + { + "entropy": 5.745645236968994, + "epoch": 5.266437473141384, + "grad_norm": 1.1796875, + "learning_rate": 0.00028736213057790975, + "loss": 5.1262, + "mean_token_accuracy": 0.21628147065639497, + "num_tokens": 11147285.0, + "step": 6130 + }, + { + "entropy": 5.7566581726074215, + "epoch": 5.270734851740438, + "grad_norm": 1.3359375, + "learning_rate": 0.0002870301366561533, + "loss": 5.0881, + "mean_token_accuracy": 0.2212749555706978, + "num_tokens": 11155303.0, + "step": 6135 + }, + { + "entropy": 5.701379346847534, + "epoch": 5.275032230339493, + "grad_norm": 1.40625, + "learning_rate": 0.0002866981164653867, + "loss": 4.9684, + "mean_token_accuracy": 0.2331068202853203, + "num_tokens": 11163553.0, + "step": 6140 + }, + { + "entropy": 5.659363603591919, + "epoch": 5.279329608938547, + "grad_norm": 1.4921875, + "learning_rate": 0.0002863660707306095, + "loss": 4.9041, + "mean_token_accuracy": 0.23561924546957017, + "num_tokens": 11171865.0, + "step": 6145 + }, + { + "entropy": 5.717046880722046, + "epoch": 5.283626987537602, + "grad_norm": 1.15625, + "learning_rate": 0.00028603400017687675, + "loss": 5.0903, + "mean_token_accuracy": 0.21897276788949965, + "num_tokens": 11181137.0, + "step": 6150 + }, + { + "entropy": 5.599358224868775, + "epoch": 5.287924366136656, + "grad_norm": 1.2578125, + "learning_rate": 0.00028570190552929794, + "loss": 4.9649, + "mean_token_accuracy": 0.23953897058963775, + "num_tokens": 11190174.0, + "step": 6155 + }, + { + "entropy": 5.644610738754272, + "epoch": 5.292221744735711, + "grad_norm": 1.3515625, + "learning_rate": 0.000285369787513035, + "loss": 4.987, + "mean_token_accuracy": 0.22932439893484116, + "num_tokens": 11197964.0, + "step": 6160 + }, + { + "entropy": 5.768923711776734, + "epoch": 5.2965191233347655, + "grad_norm": 1.09375, + "learning_rate": 0.00028503764685330077, + "loss": 5.1084, + "mean_token_accuracy": 0.2178024098277092, + "num_tokens": 11207974.0, + "step": 6165 + }, + { + "entropy": 5.669016408920288, + "epoch": 5.30081650193382, + "grad_norm": 1.3515625, + "learning_rate": 0.00028470548427535794, + "loss": 5.0318, + "mean_token_accuracy": 0.22539808452129365, + "num_tokens": 11216430.0, + "step": 6170 + }, + { + "entropy": 5.72750072479248, + "epoch": 5.305113880532875, + "grad_norm": 1.2109375, + "learning_rate": 0.00028437330050451654, + "loss": 5.1328, + "mean_token_accuracy": 0.21367713510990144, + "num_tokens": 11226189.0, + "step": 6175 + }, + { + "entropy": 5.705896663665771, + "epoch": 5.309411259131929, + "grad_norm": 1.34375, + "learning_rate": 0.0002840410962661334, + "loss": 5.088, + "mean_token_accuracy": 0.2210001528263092, + "num_tokens": 11234691.0, + "step": 6180 + }, + { + "entropy": 5.660514640808105, + "epoch": 5.313708637730985, + "grad_norm": 1.328125, + "learning_rate": 0.0002837088722856098, + "loss": 4.9318, + "mean_token_accuracy": 0.23419011533260345, + "num_tokens": 11243852.0, + "step": 6185 + }, + { + "entropy": 5.72763729095459, + "epoch": 5.318006016330038, + "grad_norm": 1.234375, + "learning_rate": 0.00028337662928838996, + "loss": 5.1053, + "mean_token_accuracy": 0.21972943395376204, + "num_tokens": 11253416.0, + "step": 6190 + }, + { + "entropy": 5.662899398803711, + "epoch": 5.322303394929094, + "grad_norm": 1.1015625, + "learning_rate": 0.00028304436799995986, + "loss": 4.997, + "mean_token_accuracy": 0.2329850599169731, + "num_tokens": 11262869.0, + "step": 6195 + }, + { + "entropy": 5.765104818344116, + "epoch": 5.326600773528148, + "grad_norm": 1.1875, + "learning_rate": 0.00028271208914584534, + "loss": 5.1133, + "mean_token_accuracy": 0.21480259597301482, + "num_tokens": 11272386.0, + "step": 6200 + }, + { + "entropy": 5.706294012069702, + "epoch": 5.330898152127203, + "grad_norm": 1.2578125, + "learning_rate": 0.00028237979345161065, + "loss": 4.9803, + "mean_token_accuracy": 0.22452399581670762, + "num_tokens": 11281590.0, + "step": 6205 + }, + { + "entropy": 5.694635534286499, + "epoch": 5.335195530726257, + "grad_norm": 1.3515625, + "learning_rate": 0.0002820474816428568, + "loss": 5.0398, + "mean_token_accuracy": 0.22545266300439834, + "num_tokens": 11290873.0, + "step": 6210 + }, + { + "entropy": 5.7399656772613525, + "epoch": 5.339492909325312, + "grad_norm": 1.328125, + "learning_rate": 0.0002817151544452198, + "loss": 4.9911, + "mean_token_accuracy": 0.22447988986968995, + "num_tokens": 11299064.0, + "step": 6215 + }, + { + "entropy": 5.719579458236694, + "epoch": 5.343790287924366, + "grad_norm": 1.234375, + "learning_rate": 0.00028138281258436947, + "loss": 5.0504, + "mean_token_accuracy": 0.21890538781881333, + "num_tokens": 11307390.0, + "step": 6220 + }, + { + "entropy": 5.641092538833618, + "epoch": 5.348087666523421, + "grad_norm": 1.4375, + "learning_rate": 0.0002810504567860078, + "loss": 4.9957, + "mean_token_accuracy": 0.23052176386117934, + "num_tokens": 11315606.0, + "step": 6225 + }, + { + "entropy": 5.78738374710083, + "epoch": 5.3523850451224755, + "grad_norm": 1.3359375, + "learning_rate": 0.0002807180877758667, + "loss": 5.1199, + "mean_token_accuracy": 0.21379440873861313, + "num_tokens": 11323821.0, + "step": 6230 + }, + { + "entropy": 5.668607139587403, + "epoch": 5.35668242372153, + "grad_norm": 1.4453125, + "learning_rate": 0.00028038570627970754, + "loss": 5.0706, + "mean_token_accuracy": 0.22117573767900467, + "num_tokens": 11331850.0, + "step": 6235 + }, + { + "entropy": 5.657337856292725, + "epoch": 5.360979802320585, + "grad_norm": 1.4296875, + "learning_rate": 0.0002800533130233184, + "loss": 5.0238, + "mean_token_accuracy": 0.2220548003911972, + "num_tokens": 11340125.0, + "step": 6240 + }, + { + "entropy": 5.743132734298706, + "epoch": 5.365277180919639, + "grad_norm": 1.3203125, + "learning_rate": 0.0002797209087325135, + "loss": 5.0623, + "mean_token_accuracy": 0.21825114637613297, + "num_tokens": 11349184.0, + "step": 6245 + }, + { + "entropy": 5.771504831314087, + "epoch": 5.369574559518694, + "grad_norm": 1.2578125, + "learning_rate": 0.00027938849413313083, + "loss": 5.1051, + "mean_token_accuracy": 0.21638326942920685, + "num_tokens": 11357536.0, + "step": 6250 + }, + { + "entropy": 5.719394874572754, + "epoch": 5.373871938117748, + "grad_norm": 1.1953125, + "learning_rate": 0.000279056069951031, + "loss": 5.0973, + "mean_token_accuracy": 0.2208126589655876, + "num_tokens": 11367242.0, + "step": 6255 + }, + { + "entropy": 5.701067686080933, + "epoch": 5.378169316716803, + "grad_norm": 1.3046875, + "learning_rate": 0.00027872363691209564, + "loss": 5.0424, + "mean_token_accuracy": 0.2230653151869774, + "num_tokens": 11374932.0, + "step": 6260 + }, + { + "entropy": 5.692240571975708, + "epoch": 5.382466695315857, + "grad_norm": 1.328125, + "learning_rate": 0.0002783911957422256, + "loss": 5.0384, + "mean_token_accuracy": 0.22070774734020232, + "num_tokens": 11383575.0, + "step": 6265 + }, + { + "entropy": 5.7348823070526125, + "epoch": 5.386764073914912, + "grad_norm": 1.3046875, + "learning_rate": 0.0002780587471673394, + "loss": 5.0771, + "mean_token_accuracy": 0.21955856680870056, + "num_tokens": 11392285.0, + "step": 6270 + }, + { + "entropy": 5.7097772598266605, + "epoch": 5.391061452513966, + "grad_norm": 1.25, + "learning_rate": 0.00027772629191337206, + "loss": 5.0487, + "mean_token_accuracy": 0.22507010102272035, + "num_tokens": 11401054.0, + "step": 6275 + }, + { + "entropy": 5.684504842758178, + "epoch": 5.395358831113021, + "grad_norm": 1.3671875, + "learning_rate": 0.00027739383070627283, + "loss": 5.0698, + "mean_token_accuracy": 0.2200905501842499, + "num_tokens": 11410529.0, + "step": 6280 + }, + { + "entropy": 5.719993925094604, + "epoch": 5.3996562097120755, + "grad_norm": 1.234375, + "learning_rate": 0.0002770613642720041, + "loss": 5.0371, + "mean_token_accuracy": 0.2246679574251175, + "num_tokens": 11419961.0, + "step": 6285 + }, + { + "entropy": 5.782123231887818, + "epoch": 5.40395358831113, + "grad_norm": 1.125, + "learning_rate": 0.00027672889333653984, + "loss": 5.1644, + "mean_token_accuracy": 0.20422402620315552, + "num_tokens": 11429529.0, + "step": 6290 + }, + { + "entropy": 5.693040895462036, + "epoch": 5.408250966910185, + "grad_norm": 1.1875, + "learning_rate": 0.0002763964186258635, + "loss": 5.0301, + "mean_token_accuracy": 0.22416374385356902, + "num_tokens": 11438254.0, + "step": 6295 + }, + { + "entropy": 5.702614498138428, + "epoch": 5.412548345509239, + "grad_norm": 1.203125, + "learning_rate": 0.0002760639408659671, + "loss": 5.0978, + "mean_token_accuracy": 0.2164264589548111, + "num_tokens": 11447587.0, + "step": 6300 + }, + { + "entropy": 5.698922777175904, + "epoch": 5.416845724108294, + "grad_norm": 1.375, + "learning_rate": 0.0002757314607828489, + "loss": 5.0377, + "mean_token_accuracy": 0.22288380414247513, + "num_tokens": 11455493.0, + "step": 6305 + }, + { + "entropy": 5.725058221817017, + "epoch": 5.421143102707348, + "grad_norm": 1.328125, + "learning_rate": 0.00027539897910251293, + "loss": 5.0063, + "mean_token_accuracy": 0.23147807270288467, + "num_tokens": 11464143.0, + "step": 6310 + }, + { + "entropy": 5.668506097793579, + "epoch": 5.425440481306403, + "grad_norm": 1.3671875, + "learning_rate": 0.00027506649655096595, + "loss": 4.9814, + "mean_token_accuracy": 0.2202653095126152, + "num_tokens": 11471813.0, + "step": 6315 + }, + { + "entropy": 5.662840414047241, + "epoch": 5.429737859905457, + "grad_norm": 1.3125, + "learning_rate": 0.0002747340138542171, + "loss": 5.0057, + "mean_token_accuracy": 0.2203777849674225, + "num_tokens": 11481374.0, + "step": 6320 + }, + { + "entropy": 5.767701101303101, + "epoch": 5.434035238504512, + "grad_norm": 1.1953125, + "learning_rate": 0.0002744015317382757, + "loss": 5.1746, + "mean_token_accuracy": 0.2164507880806923, + "num_tokens": 11490575.0, + "step": 6325 + }, + { + "entropy": 5.757967758178711, + "epoch": 5.438332617103566, + "grad_norm": 1.2265625, + "learning_rate": 0.0002740690509291498, + "loss": 5.0806, + "mean_token_accuracy": 0.22688030898571016, + "num_tokens": 11499898.0, + "step": 6330 + }, + { + "entropy": 5.733929872512817, + "epoch": 5.442629995702621, + "grad_norm": 1.3828125, + "learning_rate": 0.0002737365721528445, + "loss": 5.0643, + "mean_token_accuracy": 0.21820032298564912, + "num_tokens": 11508544.0, + "step": 6335 + }, + { + "entropy": 5.6999755859375, + "epoch": 5.446927374301676, + "grad_norm": 1.2421875, + "learning_rate": 0.0002734040961353607, + "loss": 5.0513, + "mean_token_accuracy": 0.22286413460969925, + "num_tokens": 11519239.0, + "step": 6340 + }, + { + "entropy": 5.707623910903931, + "epoch": 5.451224752900731, + "grad_norm": 1.2734375, + "learning_rate": 0.000273071623602693, + "loss": 5.0382, + "mean_token_accuracy": 0.22144442051649094, + "num_tokens": 11529014.0, + "step": 6345 + }, + { + "entropy": 5.712731885910034, + "epoch": 5.4555221314997855, + "grad_norm": 1.25, + "learning_rate": 0.00027273915528082865, + "loss": 5.0207, + "mean_token_accuracy": 0.22821328788995743, + "num_tokens": 11538367.0, + "step": 6350 + }, + { + "entropy": 5.784208154678344, + "epoch": 5.45981951009884, + "grad_norm": 1.2109375, + "learning_rate": 0.0002724066918957455, + "loss": 5.1945, + "mean_token_accuracy": 0.20518641024827958, + "num_tokens": 11548166.0, + "step": 6355 + }, + { + "entropy": 5.650224399566651, + "epoch": 5.464116888697895, + "grad_norm": 1.2265625, + "learning_rate": 0.0002720742341734107, + "loss": 5.0393, + "mean_token_accuracy": 0.22485454976558686, + "num_tokens": 11557187.0, + "step": 6360 + }, + { + "entropy": 5.770067548751831, + "epoch": 5.468414267296949, + "grad_norm": 1.34375, + "learning_rate": 0.00027174178283977904, + "loss": 5.0648, + "mean_token_accuracy": 0.21925112903118132, + "num_tokens": 11566181.0, + "step": 6365 + }, + { + "entropy": 5.679496145248413, + "epoch": 5.472711645896004, + "grad_norm": 1.171875, + "learning_rate": 0.00027140933862079136, + "loss": 5.0389, + "mean_token_accuracy": 0.22760843932628633, + "num_tokens": 11576157.0, + "step": 6370 + }, + { + "entropy": 5.662256336212158, + "epoch": 5.477009024495058, + "grad_norm": 1.3125, + "learning_rate": 0.000271076902242373, + "loss": 5.0069, + "mean_token_accuracy": 0.22589283734560012, + "num_tokens": 11585325.0, + "step": 6375 + }, + { + "entropy": 5.733037662506104, + "epoch": 5.481306403094113, + "grad_norm": 1.2109375, + "learning_rate": 0.000270744474430432, + "loss": 4.9985, + "mean_token_accuracy": 0.22967931479215623, + "num_tokens": 11594623.0, + "step": 6380 + }, + { + "entropy": 5.782998085021973, + "epoch": 5.485603781693167, + "grad_norm": 1.265625, + "learning_rate": 0.000270412055910858, + "loss": 5.1686, + "mean_token_accuracy": 0.21681290566921235, + "num_tokens": 11604370.0, + "step": 6385 + }, + { + "entropy": 5.643405389785767, + "epoch": 5.489901160292222, + "grad_norm": 1.1953125, + "learning_rate": 0.0002700796474095201, + "loss": 4.9855, + "mean_token_accuracy": 0.23277317434549333, + "num_tokens": 11613779.0, + "step": 6390 + }, + { + "entropy": 5.7119005680084225, + "epoch": 5.494198538891276, + "grad_norm": 1.34375, + "learning_rate": 0.0002697472496522656, + "loss": 5.0583, + "mean_token_accuracy": 0.22339898496866226, + "num_tokens": 11623037.0, + "step": 6395 + }, + { + "entropy": 5.762480592727661, + "epoch": 5.498495917490331, + "grad_norm": 1.25, + "learning_rate": 0.0002694148633649184, + "loss": 5.0846, + "mean_token_accuracy": 0.21870031207799911, + "num_tokens": 11631640.0, + "step": 6400 + }, + { + "entropy": 5.7132039070129395, + "epoch": 5.5027932960893855, + "grad_norm": 1.359375, + "learning_rate": 0.0002690824892732772, + "loss": 5.0635, + "mean_token_accuracy": 0.22984230667352676, + "num_tokens": 11640500.0, + "step": 6405 + }, + { + "entropy": 5.727060127258301, + "epoch": 5.50709067468844, + "grad_norm": 1.328125, + "learning_rate": 0.0002687501281031142, + "loss": 5.0927, + "mean_token_accuracy": 0.21840092092752456, + "num_tokens": 11649173.0, + "step": 6410 + }, + { + "entropy": 5.5954478740692135, + "epoch": 5.511388053287495, + "grad_norm": 1.3203125, + "learning_rate": 0.0002684177805801734, + "loss": 4.9503, + "mean_token_accuracy": 0.23530040234327315, + "num_tokens": 11658808.0, + "step": 6415 + }, + { + "entropy": 5.721831846237182, + "epoch": 5.515685431886549, + "grad_norm": 1.1875, + "learning_rate": 0.00026808544743016886, + "loss": 5.027, + "mean_token_accuracy": 0.2200983464717865, + "num_tokens": 11667600.0, + "step": 6420 + }, + { + "entropy": 5.680030441284179, + "epoch": 5.519982810485604, + "grad_norm": 1.359375, + "learning_rate": 0.0002677531293787835, + "loss": 5.0687, + "mean_token_accuracy": 0.21921883374452591, + "num_tokens": 11675597.0, + "step": 6425 + }, + { + "entropy": 5.611881399154663, + "epoch": 5.524280189084658, + "grad_norm": 1.265625, + "learning_rate": 0.000267420827151667, + "loss": 4.9903, + "mean_token_accuracy": 0.22676096260547637, + "num_tokens": 11684549.0, + "step": 6430 + }, + { + "entropy": 5.70304045677185, + "epoch": 5.528577567683713, + "grad_norm": 1.3125, + "learning_rate": 0.0002670885414744347, + "loss": 5.0797, + "mean_token_accuracy": 0.22514398992061616, + "num_tokens": 11693043.0, + "step": 6435 + }, + { + "entropy": 5.821166849136352, + "epoch": 5.532874946282767, + "grad_norm": 1.2265625, + "learning_rate": 0.0002667562730726655, + "loss": 5.172, + "mean_token_accuracy": 0.21643173396587373, + "num_tokens": 11702982.0, + "step": 6440 + }, + { + "entropy": 5.741958427429199, + "epoch": 5.537172324881822, + "grad_norm": 1.1953125, + "learning_rate": 0.00026642402267190095, + "loss": 5.1484, + "mean_token_accuracy": 0.21787002980709075, + "num_tokens": 11711994.0, + "step": 6445 + }, + { + "entropy": 5.768466472625732, + "epoch": 5.541469703480876, + "grad_norm": 1.3046875, + "learning_rate": 0.00026609179099764313, + "loss": 5.1038, + "mean_token_accuracy": 0.22068035900592803, + "num_tokens": 11722165.0, + "step": 6450 + }, + { + "entropy": 5.724889326095581, + "epoch": 5.545767082079931, + "grad_norm": 1.21875, + "learning_rate": 0.00026575957877535323, + "loss": 5.0716, + "mean_token_accuracy": 0.21890437453985215, + "num_tokens": 11731265.0, + "step": 6455 + }, + { + "entropy": 5.697373151779175, + "epoch": 5.5500644606789855, + "grad_norm": 1.21875, + "learning_rate": 0.00026542738673044985, + "loss": 5.0947, + "mean_token_accuracy": 0.2167985513806343, + "num_tokens": 11741779.0, + "step": 6460 + }, + { + "entropy": 5.6448475360870365, + "epoch": 5.55436183927804, + "grad_norm": 1.359375, + "learning_rate": 0.0002650952155883077, + "loss": 5.0737, + "mean_token_accuracy": 0.221512633562088, + "num_tokens": 11749976.0, + "step": 6465 + }, + { + "entropy": 5.717658185958863, + "epoch": 5.558659217877095, + "grad_norm": 1.2109375, + "learning_rate": 0.0002647630660742559, + "loss": 5.0631, + "mean_token_accuracy": 0.21613216102123262, + "num_tokens": 11759781.0, + "step": 6470 + }, + { + "entropy": 5.73361644744873, + "epoch": 5.56295659647615, + "grad_norm": 1.109375, + "learning_rate": 0.000264430938913576, + "loss": 5.0306, + "mean_token_accuracy": 0.22538082003593446, + "num_tokens": 11769544.0, + "step": 6475 + }, + { + "entropy": 5.743956756591797, + "epoch": 5.567253975075204, + "grad_norm": 1.4375, + "learning_rate": 0.00026409883483150123, + "loss": 5.0235, + "mean_token_accuracy": 0.223893466591835, + "num_tokens": 11778831.0, + "step": 6480 + }, + { + "entropy": 5.692667055130005, + "epoch": 5.571551353674259, + "grad_norm": 1.2421875, + "learning_rate": 0.000263766754553214, + "loss": 5.1075, + "mean_token_accuracy": 0.21305216550827027, + "num_tokens": 11788813.0, + "step": 6485 + }, + { + "entropy": 5.721110439300537, + "epoch": 5.575848732273313, + "grad_norm": 1.234375, + "learning_rate": 0.0002634346988038448, + "loss": 5.0485, + "mean_token_accuracy": 0.22178650200366973, + "num_tokens": 11797335.0, + "step": 6490 + }, + { + "entropy": 5.712099361419678, + "epoch": 5.580146110872368, + "grad_norm": 1.3203125, + "learning_rate": 0.00026310266830847093, + "loss": 5.0608, + "mean_token_accuracy": 0.22487997114658356, + "num_tokens": 11806741.0, + "step": 6495 + }, + { + "entropy": 5.78537073135376, + "epoch": 5.584443489471423, + "grad_norm": 1.265625, + "learning_rate": 0.00026277066379211406, + "loss": 5.1082, + "mean_token_accuracy": 0.2191992685198784, + "num_tokens": 11815551.0, + "step": 6500 + }, + { + "epoch": 5.584443489471423, + "eval_entropy": 5.526053285813546, + "eval_loss": 5.88471794128418, + "eval_mean_token_accuracy": 0.18178187918152894, + "eval_num_tokens": 11815551.0, + "eval_runtime": 2.2546, + "eval_samples_per_second": 1574.098, + "eval_steps_per_second": 196.929, + "step": 6500 + }, + { + "entropy": 5.77349157333374, + "epoch": 5.588740868070477, + "grad_norm": 1.3046875, + "learning_rate": 0.0002624386859797396, + "loss": 5.1239, + "mean_token_accuracy": 0.21715308576822281, + "num_tokens": 11824483.0, + "step": 6505 + }, + { + "entropy": 5.620351982116699, + "epoch": 5.593038246669532, + "grad_norm": 1.3125, + "learning_rate": 0.00026210673559625406, + "loss": 4.9251, + "mean_token_accuracy": 0.2342335268855095, + "num_tokens": 11832383.0, + "step": 6510 + }, + { + "entropy": 5.736187314987182, + "epoch": 5.597335625268586, + "grad_norm": 1.453125, + "learning_rate": 0.0002617748133665047, + "loss": 5.1511, + "mean_token_accuracy": 0.2210177078843117, + "num_tokens": 11841430.0, + "step": 6515 + }, + { + "entropy": 5.713363361358643, + "epoch": 5.601633003867641, + "grad_norm": 1.2578125, + "learning_rate": 0.0002614429200152768, + "loss": 5.1042, + "mean_token_accuracy": 0.21721142828464507, + "num_tokens": 11850863.0, + "step": 6520 + }, + { + "entropy": 5.686949777603149, + "epoch": 5.6059303824666955, + "grad_norm": 1.359375, + "learning_rate": 0.000261111056267293, + "loss": 4.9908, + "mean_token_accuracy": 0.223213329911232, + "num_tokens": 11859392.0, + "step": 6525 + }, + { + "entropy": 5.678573751449585, + "epoch": 5.61022776106575, + "grad_norm": 1.28125, + "learning_rate": 0.00026077922284721084, + "loss": 5.0374, + "mean_token_accuracy": 0.22779326885938644, + "num_tokens": 11868762.0, + "step": 6530 + }, + { + "entropy": 5.663127517700195, + "epoch": 5.614525139664805, + "grad_norm": 1.390625, + "learning_rate": 0.00026044742047962206, + "loss": 5.0065, + "mean_token_accuracy": 0.22907865047454834, + "num_tokens": 11876722.0, + "step": 6535 + }, + { + "entropy": 5.705111980438232, + "epoch": 5.618822518263859, + "grad_norm": 1.265625, + "learning_rate": 0.00026011564988905023, + "loss": 5.1385, + "mean_token_accuracy": 0.2226913809776306, + "num_tokens": 11885614.0, + "step": 6540 + }, + { + "entropy": 5.803359842300415, + "epoch": 5.623119896862914, + "grad_norm": 1.2890625, + "learning_rate": 0.0002597839117999499, + "loss": 5.1434, + "mean_token_accuracy": 0.21973469406366347, + "num_tokens": 11894702.0, + "step": 6545 + }, + { + "entropy": 5.694731378555298, + "epoch": 5.627417275461968, + "grad_norm": 1.3828125, + "learning_rate": 0.0002594522069367044, + "loss": 5.0213, + "mean_token_accuracy": 0.2334420010447502, + "num_tokens": 11902829.0, + "step": 6550 + }, + { + "entropy": 5.662298774719238, + "epoch": 5.631714654061023, + "grad_norm": 1.1953125, + "learning_rate": 0.0002591205360236245, + "loss": 5.074, + "mean_token_accuracy": 0.22429724633693696, + "num_tokens": 11912377.0, + "step": 6555 + }, + { + "entropy": 5.692343282699585, + "epoch": 5.636012032660077, + "grad_norm": 1.390625, + "learning_rate": 0.000258788899784947, + "loss": 5.0625, + "mean_token_accuracy": 0.21530526280403137, + "num_tokens": 11920563.0, + "step": 6560 + }, + { + "entropy": 5.775351047515869, + "epoch": 5.640309411259132, + "grad_norm": 1.1640625, + "learning_rate": 0.00025845729894483283, + "loss": 5.097, + "mean_token_accuracy": 0.21399070620536803, + "num_tokens": 11930190.0, + "step": 6565 + }, + { + "entropy": 5.762508678436279, + "epoch": 5.644606789858186, + "grad_norm": 1.21875, + "learning_rate": 0.0002581257342273657, + "loss": 5.1624, + "mean_token_accuracy": 0.2138037234544754, + "num_tokens": 11939840.0, + "step": 6570 + }, + { + "entropy": 5.710089302062988, + "epoch": 5.648904168457241, + "grad_norm": 1.34375, + "learning_rate": 0.0002577942063565504, + "loss": 5.0784, + "mean_token_accuracy": 0.2212178960442543, + "num_tokens": 11948260.0, + "step": 6575 + }, + { + "entropy": 5.701170206069946, + "epoch": 5.6532015470562955, + "grad_norm": 1.390625, + "learning_rate": 0.0002574627160563114, + "loss": 5.1242, + "mean_token_accuracy": 0.2222455382347107, + "num_tokens": 11956776.0, + "step": 6580 + }, + { + "entropy": 5.808792400360107, + "epoch": 5.65749892565535, + "grad_norm": 1.3203125, + "learning_rate": 0.0002571312640504909, + "loss": 5.1515, + "mean_token_accuracy": 0.21467148512601852, + "num_tokens": 11966375.0, + "step": 6585 + }, + { + "entropy": 5.825958395004273, + "epoch": 5.661796304254405, + "grad_norm": 1.2265625, + "learning_rate": 0.0002567998510628476, + "loss": 5.1745, + "mean_token_accuracy": 0.21654749512672425, + "num_tokens": 11975835.0, + "step": 6590 + }, + { + "entropy": 5.697682046890259, + "epoch": 5.666093682853459, + "grad_norm": 1.375, + "learning_rate": 0.00025646847781705506, + "loss": 5.062, + "mean_token_accuracy": 0.22404171526432037, + "num_tokens": 11984672.0, + "step": 6595 + }, + { + "entropy": 5.7217936515808105, + "epoch": 5.670391061452514, + "grad_norm": 1.390625, + "learning_rate": 0.0002561371450367, + "loss": 5.058, + "mean_token_accuracy": 0.2239342138171196, + "num_tokens": 11993954.0, + "step": 6600 + }, + { + "entropy": 5.765909624099732, + "epoch": 5.674688440051568, + "grad_norm": 1.375, + "learning_rate": 0.00025580585344528076, + "loss": 5.1266, + "mean_token_accuracy": 0.21507280468940734, + "num_tokens": 12002523.0, + "step": 6605 + }, + { + "entropy": 5.7512987613677975, + "epoch": 5.678985818650623, + "grad_norm": 1.34375, + "learning_rate": 0.0002554746037662058, + "loss": 5.1522, + "mean_token_accuracy": 0.2076337844133377, + "num_tokens": 12011638.0, + "step": 6610 + }, + { + "entropy": 5.767333936691284, + "epoch": 5.683283197249677, + "grad_norm": 1.15625, + "learning_rate": 0.0002551433967227919, + "loss": 5.1074, + "mean_token_accuracy": 0.2166377604007721, + "num_tokens": 12021319.0, + "step": 6615 + }, + { + "entropy": 5.730424690246582, + "epoch": 5.687580575848732, + "grad_norm": 1.2890625, + "learning_rate": 0.000254812233038263, + "loss": 5.0593, + "mean_token_accuracy": 0.22508615553379058, + "num_tokens": 12030255.0, + "step": 6620 + }, + { + "entropy": 5.750051546096802, + "epoch": 5.691877954447786, + "grad_norm": 1.3828125, + "learning_rate": 0.00025448111343574813, + "loss": 5.0446, + "mean_token_accuracy": 0.22844503819942474, + "num_tokens": 12038884.0, + "step": 6625 + }, + { + "entropy": 5.6743001461029055, + "epoch": 5.696175333046842, + "grad_norm": 1.109375, + "learning_rate": 0.0002541500386382802, + "loss": 5.0402, + "mean_token_accuracy": 0.22093237787485123, + "num_tokens": 12047477.0, + "step": 6630 + }, + { + "entropy": 5.70745210647583, + "epoch": 5.7004727116458955, + "grad_norm": 1.25, + "learning_rate": 0.00025381900936879433, + "loss": 5.1182, + "mean_token_accuracy": 0.21816065311431884, + "num_tokens": 12056902.0, + "step": 6635 + }, + { + "entropy": 5.719636726379394, + "epoch": 5.704770090244951, + "grad_norm": 1.2265625, + "learning_rate": 0.0002534880263501259, + "loss": 5.0763, + "mean_token_accuracy": 0.22078678905963897, + "num_tokens": 12065721.0, + "step": 6640 + }, + { + "entropy": 5.708343172073365, + "epoch": 5.7090674688440055, + "grad_norm": 1.1796875, + "learning_rate": 0.0002531570903050097, + "loss": 5.0515, + "mean_token_accuracy": 0.22799196988344192, + "num_tokens": 12074870.0, + "step": 6645 + }, + { + "entropy": 5.7802948474884035, + "epoch": 5.71336484744306, + "grad_norm": 1.203125, + "learning_rate": 0.0002528262019560776, + "loss": 5.1006, + "mean_token_accuracy": 0.21951047629117965, + "num_tokens": 12084557.0, + "step": 6650 + }, + { + "entropy": 5.676051235198974, + "epoch": 5.717662226042115, + "grad_norm": 1.140625, + "learning_rate": 0.0002524953620258579, + "loss": 4.9682, + "mean_token_accuracy": 0.23413270562887192, + "num_tokens": 12093074.0, + "step": 6655 + }, + { + "entropy": 5.689513444900513, + "epoch": 5.721959604641169, + "grad_norm": 1.296875, + "learning_rate": 0.0002521645712367724, + "loss": 4.9918, + "mean_token_accuracy": 0.2312155470252037, + "num_tokens": 12102785.0, + "step": 6660 + }, + { + "entropy": 5.680976343154907, + "epoch": 5.726256983240224, + "grad_norm": 1.3671875, + "learning_rate": 0.00025183383031113606, + "loss": 5.0198, + "mean_token_accuracy": 0.23386708199977874, + "num_tokens": 12112535.0, + "step": 6665 + }, + { + "entropy": 5.595748949050903, + "epoch": 5.730554361839278, + "grad_norm": 1.2421875, + "learning_rate": 0.00025150313997115476, + "loss": 4.973, + "mean_token_accuracy": 0.2262031227350235, + "num_tokens": 12121604.0, + "step": 6670 + }, + { + "entropy": 5.729144287109375, + "epoch": 5.734851740438333, + "grad_norm": 1.2109375, + "learning_rate": 0.0002511725009389244, + "loss": 5.1364, + "mean_token_accuracy": 0.2118260830640793, + "num_tokens": 12131276.0, + "step": 6675 + }, + { + "entropy": 5.677047777175903, + "epoch": 5.739149119037387, + "grad_norm": 1.40625, + "learning_rate": 0.000250841913936428, + "loss": 5.0989, + "mean_token_accuracy": 0.22394427061080932, + "num_tokens": 12140180.0, + "step": 6680 + }, + { + "entropy": 5.6755109310150145, + "epoch": 5.743446497636442, + "grad_norm": 1.296875, + "learning_rate": 0.0002505113796855357, + "loss": 5.0724, + "mean_token_accuracy": 0.21869651228189468, + "num_tokens": 12149635.0, + "step": 6685 + }, + { + "entropy": 5.731184768676758, + "epoch": 5.747743876235496, + "grad_norm": 1.328125, + "learning_rate": 0.00025018089890800225, + "loss": 5.0106, + "mean_token_accuracy": 0.23130760043859483, + "num_tokens": 12157565.0, + "step": 6690 + }, + { + "entropy": 5.726122760772705, + "epoch": 5.752041254834551, + "grad_norm": 1.3046875, + "learning_rate": 0.00024985047232546544, + "loss": 5.1313, + "mean_token_accuracy": 0.21073731929063796, + "num_tokens": 12166647.0, + "step": 6695 + }, + { + "entropy": 5.7177893161773685, + "epoch": 5.7563386334336055, + "grad_norm": 1.2265625, + "learning_rate": 0.00024952010065944485, + "loss": 5.103, + "mean_token_accuracy": 0.22112697809934617, + "num_tokens": 12175554.0, + "step": 6700 + }, + { + "entropy": 5.720852613449097, + "epoch": 5.76063601203266, + "grad_norm": 1.3984375, + "learning_rate": 0.0002491897846313402, + "loss": 5.0861, + "mean_token_accuracy": 0.22505464851856233, + "num_tokens": 12184756.0, + "step": 6705 + }, + { + "entropy": 5.787768459320068, + "epoch": 5.764933390631715, + "grad_norm": 1.21875, + "learning_rate": 0.0002488595249624297, + "loss": 5.1657, + "mean_token_accuracy": 0.2111471638083458, + "num_tokens": 12194724.0, + "step": 6710 + }, + { + "entropy": 5.751486301422119, + "epoch": 5.769230769230769, + "grad_norm": 1.1875, + "learning_rate": 0.00024852932237386837, + "loss": 5.1101, + "mean_token_accuracy": 0.21754648834466933, + "num_tokens": 12203804.0, + "step": 6715 + }, + { + "entropy": 5.71734390258789, + "epoch": 5.773528147829824, + "grad_norm": 1.2109375, + "learning_rate": 0.00024819917758668673, + "loss": 5.0583, + "mean_token_accuracy": 0.21450338363647461, + "num_tokens": 12212868.0, + "step": 6720 + }, + { + "entropy": 5.749476957321167, + "epoch": 5.777825526428878, + "grad_norm": 1.2578125, + "learning_rate": 0.00024786909132178906, + "loss": 5.1339, + "mean_token_accuracy": 0.2220611587166786, + "num_tokens": 12221650.0, + "step": 6725 + }, + { + "entropy": 5.7352417469024655, + "epoch": 5.782122905027933, + "grad_norm": 1.328125, + "learning_rate": 0.00024753906429995194, + "loss": 5.0208, + "mean_token_accuracy": 0.23245062083005905, + "num_tokens": 12231541.0, + "step": 6730 + }, + { + "entropy": 5.726803779602051, + "epoch": 5.786420283626987, + "grad_norm": 1.3359375, + "learning_rate": 0.0002472090972418222, + "loss": 5.1206, + "mean_token_accuracy": 0.2154802456498146, + "num_tokens": 12240899.0, + "step": 6735 + }, + { + "entropy": 5.747926139831543, + "epoch": 5.790717662226042, + "grad_norm": 1.2421875, + "learning_rate": 0.0002468791908679163, + "loss": 5.0888, + "mean_token_accuracy": 0.21271725445985795, + "num_tokens": 12250352.0, + "step": 6740 + }, + { + "entropy": 5.777256822586059, + "epoch": 5.795015040825096, + "grad_norm": 1.2734375, + "learning_rate": 0.0002465493458986175, + "loss": 5.1526, + "mean_token_accuracy": 0.21231271475553512, + "num_tokens": 12259975.0, + "step": 6745 + }, + { + "entropy": 5.662602233886719, + "epoch": 5.799312419424151, + "grad_norm": 1.40625, + "learning_rate": 0.00024621956305417587, + "loss": 4.9995, + "mean_token_accuracy": 0.22537871152162553, + "num_tokens": 12269203.0, + "step": 6750 + }, + { + "entropy": 5.759423017501831, + "epoch": 5.8036097980232055, + "grad_norm": 1.3359375, + "learning_rate": 0.000245889843054705, + "loss": 5.1008, + "mean_token_accuracy": 0.22535506039857864, + "num_tokens": 12279481.0, + "step": 6755 + }, + { + "entropy": 5.677676963806152, + "epoch": 5.80790717662226, + "grad_norm": 1.2421875, + "learning_rate": 0.00024556018662018163, + "loss": 5.0841, + "mean_token_accuracy": 0.22594149112701417, + "num_tokens": 12288848.0, + "step": 6760 + }, + { + "entropy": 5.761795091629028, + "epoch": 5.812204555221315, + "grad_norm": 1.2109375, + "learning_rate": 0.00024523059447044377, + "loss": 5.0773, + "mean_token_accuracy": 0.21773602664470673, + "num_tokens": 12297346.0, + "step": 6765 + }, + { + "entropy": 5.74983320236206, + "epoch": 5.816501933820369, + "grad_norm": 1.28125, + "learning_rate": 0.0002449010673251887, + "loss": 5.0937, + "mean_token_accuracy": 0.2133167415857315, + "num_tokens": 12306233.0, + "step": 6770 + }, + { + "entropy": 5.7833335399627686, + "epoch": 5.820799312419425, + "grad_norm": 1.2734375, + "learning_rate": 0.0002445716059039723, + "loss": 5.2003, + "mean_token_accuracy": 0.20486359298229218, + "num_tokens": 12315609.0, + "step": 6775 + }, + { + "entropy": 5.767945957183838, + "epoch": 5.825096691018478, + "grad_norm": 1.484375, + "learning_rate": 0.00024424221092620644, + "loss": 5.1211, + "mean_token_accuracy": 0.22181842029094695, + "num_tokens": 12323915.0, + "step": 6780 + }, + { + "entropy": 5.654868030548096, + "epoch": 5.829394069617534, + "grad_norm": 1.2265625, + "learning_rate": 0.00024391288311115822, + "loss": 5.0409, + "mean_token_accuracy": 0.21649088859558105, + "num_tokens": 12334077.0, + "step": 6785 + }, + { + "entropy": 5.701321029663086, + "epoch": 5.833691448216588, + "grad_norm": 1.3203125, + "learning_rate": 0.0002435836231779478, + "loss": 5.0891, + "mean_token_accuracy": 0.21890870183706285, + "num_tokens": 12342411.0, + "step": 6790 + }, + { + "entropy": 5.682297992706299, + "epoch": 5.837988826815643, + "grad_norm": 1.2109375, + "learning_rate": 0.00024325443184554724, + "loss": 4.9759, + "mean_token_accuracy": 0.23374876230955124, + "num_tokens": 12351308.0, + "step": 6795 + }, + { + "entropy": 5.6986854553222654, + "epoch": 5.842286205414697, + "grad_norm": 1.25, + "learning_rate": 0.00024292530983277904, + "loss": 5.1638, + "mean_token_accuracy": 0.2165835380554199, + "num_tokens": 12359673.0, + "step": 6800 + }, + { + "entropy": 5.688496255874634, + "epoch": 5.846583584013752, + "grad_norm": 1.2890625, + "learning_rate": 0.00024259625785831408, + "loss": 4.9993, + "mean_token_accuracy": 0.2236035004258156, + "num_tokens": 12367876.0, + "step": 6805 + }, + { + "entropy": 5.767372131347656, + "epoch": 5.850880962612806, + "grad_norm": 1.3046875, + "learning_rate": 0.00024226727664067023, + "loss": 5.1523, + "mean_token_accuracy": 0.2160484492778778, + "num_tokens": 12377040.0, + "step": 6810 + }, + { + "entropy": 5.827092409133911, + "epoch": 5.855178341211861, + "grad_norm": 1.2578125, + "learning_rate": 0.00024193836689821109, + "loss": 5.2168, + "mean_token_accuracy": 0.21186406761407853, + "num_tokens": 12387622.0, + "step": 6815 + }, + { + "entropy": 5.657399129867554, + "epoch": 5.8594757198109155, + "grad_norm": 1.3046875, + "learning_rate": 0.0002416095293491439, + "loss": 4.9935, + "mean_token_accuracy": 0.22828370928764344, + "num_tokens": 12396447.0, + "step": 6820 + }, + { + "entropy": 5.7454558372497555, + "epoch": 5.86377309840997, + "grad_norm": 1.3515625, + "learning_rate": 0.0002412807647115186, + "loss": 5.0195, + "mean_token_accuracy": 0.23341405838727952, + "num_tokens": 12405887.0, + "step": 6825 + }, + { + "entropy": 5.6852339744567875, + "epoch": 5.868070477009025, + "grad_norm": 1.28125, + "learning_rate": 0.00024095207370322574, + "loss": 5.0519, + "mean_token_accuracy": 0.22003408372402192, + "num_tokens": 12414543.0, + "step": 6830 + }, + { + "entropy": 5.7159740924835205, + "epoch": 5.872367855608079, + "grad_norm": 1.3515625, + "learning_rate": 0.00024062345704199507, + "loss": 5.0443, + "mean_token_accuracy": 0.22227698117494582, + "num_tokens": 12423370.0, + "step": 6835 + }, + { + "entropy": 5.764145946502685, + "epoch": 5.876665234207134, + "grad_norm": 1.046875, + "learning_rate": 0.00024029491544539405, + "loss": 5.1412, + "mean_token_accuracy": 0.21509134620428086, + "num_tokens": 12433980.0, + "step": 6840 + }, + { + "entropy": 5.701482248306275, + "epoch": 5.880962612806188, + "grad_norm": 1.359375, + "learning_rate": 0.00023996644963082616, + "loss": 5.0814, + "mean_token_accuracy": 0.22744909077882766, + "num_tokens": 12443300.0, + "step": 6845 + }, + { + "entropy": 5.749948024749756, + "epoch": 5.885259991405243, + "grad_norm": 1.1875, + "learning_rate": 0.00023963806031552948, + "loss": 5.1236, + "mean_token_accuracy": 0.21074166893959045, + "num_tokens": 12452462.0, + "step": 6850 + }, + { + "entropy": 5.6513162612915036, + "epoch": 5.889557370004297, + "grad_norm": 1.265625, + "learning_rate": 0.00023930974821657504, + "loss": 5.0546, + "mean_token_accuracy": 0.2217905506491661, + "num_tokens": 12461605.0, + "step": 6855 + }, + { + "entropy": 5.785699319839478, + "epoch": 5.893854748603352, + "grad_norm": 1.25, + "learning_rate": 0.00023898151405086533, + "loss": 5.1274, + "mean_token_accuracy": 0.21363674402236937, + "num_tokens": 12470905.0, + "step": 6860 + }, + { + "entropy": 5.7869494438171385, + "epoch": 5.8981521272024064, + "grad_norm": 1.3671875, + "learning_rate": 0.00023865335853513232, + "loss": 5.0999, + "mean_token_accuracy": 0.2226301461458206, + "num_tokens": 12478913.0, + "step": 6865 + }, + { + "entropy": 5.734767198562622, + "epoch": 5.902449505801461, + "grad_norm": 1.25, + "learning_rate": 0.00023832528238593677, + "loss": 5.1908, + "mean_token_accuracy": 0.21548587679862977, + "num_tokens": 12487561.0, + "step": 6870 + }, + { + "entropy": 5.668437480926514, + "epoch": 5.9067468844005155, + "grad_norm": 1.28125, + "learning_rate": 0.00023799728631966556, + "loss": 5.0735, + "mean_token_accuracy": 0.22422571927309037, + "num_tokens": 12496781.0, + "step": 6875 + }, + { + "entropy": 5.763645887374878, + "epoch": 5.91104426299957, + "grad_norm": 1.515625, + "learning_rate": 0.0002376693710525313, + "loss": 5.1662, + "mean_token_accuracy": 0.21098217368125916, + "num_tokens": 12505716.0, + "step": 6880 + }, + { + "entropy": 5.814133214950561, + "epoch": 5.915341641598625, + "grad_norm": 1.15625, + "learning_rate": 0.00023734153730056967, + "loss": 5.1122, + "mean_token_accuracy": 0.21441538035869598, + "num_tokens": 12515594.0, + "step": 6885 + }, + { + "entropy": 5.671756172180176, + "epoch": 5.919639020197679, + "grad_norm": 1.5078125, + "learning_rate": 0.00023701378577963873, + "loss": 4.9555, + "mean_token_accuracy": 0.2352278098464012, + "num_tokens": 12523439.0, + "step": 6890 + }, + { + "entropy": 5.661434507369995, + "epoch": 5.923936398796734, + "grad_norm": 1.34375, + "learning_rate": 0.0002366861172054166, + "loss": 5.0439, + "mean_token_accuracy": 0.23203356862068175, + "num_tokens": 12532100.0, + "step": 6895 + }, + { + "entropy": 5.69484052658081, + "epoch": 5.928233777395788, + "grad_norm": 1.3515625, + "learning_rate": 0.00023635853229340054, + "loss": 5.0674, + "mean_token_accuracy": 0.21839096695184707, + "num_tokens": 12539689.0, + "step": 6900 + }, + { + "entropy": 5.740998411178589, + "epoch": 5.932531155994843, + "grad_norm": 1.265625, + "learning_rate": 0.00023603103175890512, + "loss": 5.1108, + "mean_token_accuracy": 0.21340399384498596, + "num_tokens": 12548486.0, + "step": 6905 + }, + { + "entropy": 5.708246421813965, + "epoch": 5.936828534593897, + "grad_norm": 1.265625, + "learning_rate": 0.00023570361631706062, + "loss": 4.9806, + "mean_token_accuracy": 0.23616116344928742, + "num_tokens": 12557423.0, + "step": 6910 + }, + { + "entropy": 5.676116800308227, + "epoch": 5.941125913192952, + "grad_norm": 1.3046875, + "learning_rate": 0.00023537628668281142, + "loss": 5.1282, + "mean_token_accuracy": 0.22083746641874313, + "num_tokens": 12566086.0, + "step": 6915 + }, + { + "entropy": 5.675523042678833, + "epoch": 5.945423291792007, + "grad_norm": 1.25, + "learning_rate": 0.00023504904357091468, + "loss": 5.0403, + "mean_token_accuracy": 0.22071400731801988, + "num_tokens": 12575827.0, + "step": 6920 + }, + { + "entropy": 5.724242877960205, + "epoch": 5.949720670391061, + "grad_norm": 1.3984375, + "learning_rate": 0.0002347218876959384, + "loss": 5.0177, + "mean_token_accuracy": 0.23093894720077515, + "num_tokens": 12585044.0, + "step": 6925 + }, + { + "entropy": 5.677963542938232, + "epoch": 5.954018048990116, + "grad_norm": 1.2265625, + "learning_rate": 0.0002343948197722604, + "loss": 5.0663, + "mean_token_accuracy": 0.2196858137845993, + "num_tokens": 12594677.0, + "step": 6930 + }, + { + "entropy": 5.6957056522369385, + "epoch": 5.958315427589171, + "grad_norm": 1.3125, + "learning_rate": 0.00023406784051406638, + "loss": 5.0934, + "mean_token_accuracy": 0.21734366714954376, + "num_tokens": 12604829.0, + "step": 6935 + }, + { + "entropy": 5.814334344863892, + "epoch": 5.9626128061882255, + "grad_norm": 1.2421875, + "learning_rate": 0.00023374095063534816, + "loss": 5.072, + "mean_token_accuracy": 0.23150041699409485, + "num_tokens": 12613869.0, + "step": 6940 + }, + { + "entropy": 5.7182660579681395, + "epoch": 5.96691018478728, + "grad_norm": 1.265625, + "learning_rate": 0.00023341415084990276, + "loss": 5.0531, + "mean_token_accuracy": 0.22266816049814225, + "num_tokens": 12623248.0, + "step": 6945 + }, + { + "entropy": 5.623208475112915, + "epoch": 5.971207563386335, + "grad_norm": 1.2265625, + "learning_rate": 0.00023308744187132996, + "loss": 4.9786, + "mean_token_accuracy": 0.2341190755367279, + "num_tokens": 12631973.0, + "step": 6950 + }, + { + "entropy": 5.716631126403809, + "epoch": 5.975504941985389, + "grad_norm": 1.3046875, + "learning_rate": 0.00023276082441303197, + "loss": 5.0999, + "mean_token_accuracy": 0.22288594245910645, + "num_tokens": 12641435.0, + "step": 6955 + }, + { + "entropy": 5.753938913345337, + "epoch": 5.979802320584444, + "grad_norm": 1.2421875, + "learning_rate": 0.00023243429918821056, + "loss": 5.0884, + "mean_token_accuracy": 0.21952137500047683, + "num_tokens": 12651077.0, + "step": 6960 + }, + { + "entropy": 5.798230123519898, + "epoch": 5.984099699183498, + "grad_norm": 1.3671875, + "learning_rate": 0.00023210786690986646, + "loss": 5.1737, + "mean_token_accuracy": 0.21541121006011962, + "num_tokens": 12659929.0, + "step": 6965 + }, + { + "entropy": 5.718689918518066, + "epoch": 5.988397077782553, + "grad_norm": 1.3125, + "learning_rate": 0.00023178152829079712, + "loss": 5.0248, + "mean_token_accuracy": 0.2251025393605232, + "num_tokens": 12670725.0, + "step": 6970 + }, + { + "entropy": 5.701576375961304, + "epoch": 5.992694456381607, + "grad_norm": 1.40625, + "learning_rate": 0.00023145528404359562, + "loss": 5.0708, + "mean_token_accuracy": 0.22593270093202591, + "num_tokens": 12680820.0, + "step": 6975 + }, + { + "entropy": 5.746781206130981, + "epoch": 5.996991834980662, + "grad_norm": 1.3046875, + "learning_rate": 0.0002311291348806492, + "loss": 5.1318, + "mean_token_accuracy": 0.2134876236319542, + "num_tokens": 12689785.0, + "step": 6980 + }, + { + "entropy": 5.668917391035292, + "epoch": 6.000859475719811, + "grad_norm": 1.3046875, + "learning_rate": 0.0002308030815141372, + "loss": 5.0926, + "mean_token_accuracy": 0.2199319683843189, + "num_tokens": 12697221.0, + "step": 6985 + }, + { + "entropy": 5.642835378646851, + "epoch": 6.005156854318866, + "grad_norm": 1.234375, + "learning_rate": 0.00023047712465602976, + "loss": 4.8828, + "mean_token_accuracy": 0.2438489243388176, + "num_tokens": 12707127.0, + "step": 6990 + }, + { + "entropy": 5.647864055633545, + "epoch": 6.00945423291792, + "grad_norm": 1.390625, + "learning_rate": 0.00023015126501808641, + "loss": 4.8829, + "mean_token_accuracy": 0.22817471027374267, + "num_tokens": 12715364.0, + "step": 6995 + }, + { + "entropy": 5.700256299972534, + "epoch": 6.013751611516975, + "grad_norm": 1.2109375, + "learning_rate": 0.00022982550331185437, + "loss": 4.8942, + "mean_token_accuracy": 0.24342687278985978, + "num_tokens": 12724914.0, + "step": 7000 + }, + { + "epoch": 6.013751611516975, + "eval_entropy": 5.508724927365243, + "eval_loss": 5.8795576095581055, + "eval_mean_token_accuracy": 0.18236776303734864, + "eval_num_tokens": 12724914.0, + "eval_runtime": 2.0479, + "eval_samples_per_second": 1733.032, + "eval_steps_per_second": 216.812, + "step": 7000 + }, + { + "entropy": 5.670391464233399, + "epoch": 6.0180489901160295, + "grad_norm": 1.1875, + "learning_rate": 0.00022949984024866704, + "loss": 4.9099, + "mean_token_accuracy": 0.23701934069395064, + "num_tokens": 12735193.0, + "step": 7005 + }, + { + "entropy": 5.732305097579956, + "epoch": 6.022346368715084, + "grad_norm": 1.3515625, + "learning_rate": 0.0002291742765396424, + "loss": 4.9422, + "mean_token_accuracy": 0.24183074086904527, + "num_tokens": 12743945.0, + "step": 7010 + }, + { + "entropy": 5.727162218093872, + "epoch": 6.0266437473141385, + "grad_norm": 1.203125, + "learning_rate": 0.00022884881289568133, + "loss": 4.95, + "mean_token_accuracy": 0.2304249882698059, + "num_tokens": 12753130.0, + "step": 7015 + }, + { + "entropy": 5.668257331848144, + "epoch": 6.030941125913193, + "grad_norm": 1.2734375, + "learning_rate": 0.0002285234500274665, + "loss": 4.9429, + "mean_token_accuracy": 0.22958544343709947, + "num_tokens": 12762108.0, + "step": 7020 + }, + { + "entropy": 5.778354358673096, + "epoch": 6.035238504512248, + "grad_norm": 1.34375, + "learning_rate": 0.00022819818864546016, + "loss": 4.9808, + "mean_token_accuracy": 0.23066942244768143, + "num_tokens": 12772102.0, + "step": 7025 + }, + { + "entropy": 5.6958764553070065, + "epoch": 6.039535883111302, + "grad_norm": 1.3359375, + "learning_rate": 0.00022787302945990345, + "loss": 4.9414, + "mean_token_accuracy": 0.24072416126728058, + "num_tokens": 12781225.0, + "step": 7030 + }, + { + "entropy": 5.725193023681641, + "epoch": 6.043833261710357, + "grad_norm": 1.4140625, + "learning_rate": 0.00022754797318081383, + "loss": 4.9144, + "mean_token_accuracy": 0.23167165368795395, + "num_tokens": 12789896.0, + "step": 7035 + }, + { + "entropy": 5.701824522018432, + "epoch": 6.048130640309411, + "grad_norm": 1.28125, + "learning_rate": 0.00022722302051798442, + "loss": 4.8494, + "mean_token_accuracy": 0.2424164205789566, + "num_tokens": 12798596.0, + "step": 7040 + }, + { + "entropy": 5.605796670913696, + "epoch": 6.052428018908466, + "grad_norm": 1.3046875, + "learning_rate": 0.0002268981721809819, + "loss": 4.8698, + "mean_token_accuracy": 0.24207407981157303, + "num_tokens": 12807285.0, + "step": 7045 + }, + { + "entropy": 5.690208387374878, + "epoch": 6.05672539750752, + "grad_norm": 1.3125, + "learning_rate": 0.0002265734288791451, + "loss": 4.9288, + "mean_token_accuracy": 0.2328885316848755, + "num_tokens": 12816668.0, + "step": 7050 + }, + { + "entropy": 5.733233499526977, + "epoch": 6.061022776106575, + "grad_norm": 1.3515625, + "learning_rate": 0.00022624879132158377, + "loss": 5.0102, + "mean_token_accuracy": 0.22736618667840958, + "num_tokens": 12825943.0, + "step": 7055 + }, + { + "entropy": 5.666690349578857, + "epoch": 6.0653201547056295, + "grad_norm": 1.171875, + "learning_rate": 0.00022592426021717654, + "loss": 4.8429, + "mean_token_accuracy": 0.24100734442472457, + "num_tokens": 12835693.0, + "step": 7060 + }, + { + "entropy": 5.673206329345703, + "epoch": 6.069617533304684, + "grad_norm": 1.34375, + "learning_rate": 0.0002255998362745696, + "loss": 4.7591, + "mean_token_accuracy": 0.2515610337257385, + "num_tokens": 12844201.0, + "step": 7065 + }, + { + "entropy": 5.621398305892944, + "epoch": 6.073914911903739, + "grad_norm": 1.3515625, + "learning_rate": 0.00022527552020217513, + "loss": 4.8947, + "mean_token_accuracy": 0.238974666595459, + "num_tokens": 12853220.0, + "step": 7070 + }, + { + "entropy": 5.6449134349823, + "epoch": 6.078212290502793, + "grad_norm": 1.2734375, + "learning_rate": 0.0002249513127081697, + "loss": 4.9839, + "mean_token_accuracy": 0.23246047645807266, + "num_tokens": 12862486.0, + "step": 7075 + }, + { + "entropy": 5.768129444122314, + "epoch": 6.082509669101848, + "grad_norm": 1.28125, + "learning_rate": 0.00022462721450049316, + "loss": 4.9689, + "mean_token_accuracy": 0.2276782661676407, + "num_tokens": 12871717.0, + "step": 7080 + }, + { + "entropy": 5.729448127746582, + "epoch": 6.086807047700902, + "grad_norm": 1.4453125, + "learning_rate": 0.0002243032262868464, + "loss": 4.9213, + "mean_token_accuracy": 0.22925499081611633, + "num_tokens": 12881278.0, + "step": 7085 + }, + { + "entropy": 5.68177433013916, + "epoch": 6.091104426299957, + "grad_norm": 1.234375, + "learning_rate": 0.00022397934877469, + "loss": 4.9532, + "mean_token_accuracy": 0.23347581177949905, + "num_tokens": 12890720.0, + "step": 7090 + }, + { + "entropy": 5.7116344451904295, + "epoch": 6.095401804899011, + "grad_norm": 1.2734375, + "learning_rate": 0.0002236555826712432, + "loss": 4.9578, + "mean_token_accuracy": 0.23043094277381898, + "num_tokens": 12900428.0, + "step": 7095 + }, + { + "entropy": 5.766893911361694, + "epoch": 6.099699183498066, + "grad_norm": 1.2890625, + "learning_rate": 0.00022333192868348152, + "loss": 4.9373, + "mean_token_accuracy": 0.23340655714273453, + "num_tokens": 12910177.0, + "step": 7100 + }, + { + "entropy": 5.710207319259643, + "epoch": 6.10399656209712, + "grad_norm": 1.25, + "learning_rate": 0.00022300838751813606, + "loss": 4.9861, + "mean_token_accuracy": 0.2358441546559334, + "num_tokens": 12920734.0, + "step": 7105 + }, + { + "entropy": 5.700603389739991, + "epoch": 6.108293940696175, + "grad_norm": 1.3671875, + "learning_rate": 0.00022268495988169145, + "loss": 4.8642, + "mean_token_accuracy": 0.23978381156921386, + "num_tokens": 12929585.0, + "step": 7110 + }, + { + "entropy": 5.5586847305297855, + "epoch": 6.1125913192952295, + "grad_norm": 1.359375, + "learning_rate": 0.00022236164648038433, + "loss": 4.8715, + "mean_token_accuracy": 0.2399493783712387, + "num_tokens": 12938933.0, + "step": 7115 + }, + { + "entropy": 5.64050784111023, + "epoch": 6.116888697894285, + "grad_norm": 1.4140625, + "learning_rate": 0.0002220384480202019, + "loss": 4.8359, + "mean_token_accuracy": 0.24464279115200044, + "num_tokens": 12947461.0, + "step": 7120 + }, + { + "entropy": 5.698766994476318, + "epoch": 6.1211860764933395, + "grad_norm": 1.34375, + "learning_rate": 0.00022171536520688046, + "loss": 4.8981, + "mean_token_accuracy": 0.2352096125483513, + "num_tokens": 12956507.0, + "step": 7125 + }, + { + "entropy": 5.72119255065918, + "epoch": 6.125483455092394, + "grad_norm": 1.3125, + "learning_rate": 0.00022139239874590362, + "loss": 5.0051, + "mean_token_accuracy": 0.23063586056232452, + "num_tokens": 12965740.0, + "step": 7130 + }, + { + "entropy": 5.698656225204468, + "epoch": 6.1297808336914485, + "grad_norm": 1.2890625, + "learning_rate": 0.0002210695493425013, + "loss": 4.9312, + "mean_token_accuracy": 0.23300146460533142, + "num_tokens": 12975057.0, + "step": 7135 + }, + { + "entropy": 5.629667854309082, + "epoch": 6.134078212290503, + "grad_norm": 1.5390625, + "learning_rate": 0.00022074681770164735, + "loss": 4.8588, + "mean_token_accuracy": 0.23449651151895523, + "num_tokens": 12984087.0, + "step": 7140 + }, + { + "entropy": 5.644195985794068, + "epoch": 6.138375590889558, + "grad_norm": 1.234375, + "learning_rate": 0.00022042420452805868, + "loss": 4.8837, + "mean_token_accuracy": 0.24718453586101533, + "num_tokens": 12992793.0, + "step": 7145 + }, + { + "entropy": 5.70198245048523, + "epoch": 6.142672969488612, + "grad_norm": 1.3671875, + "learning_rate": 0.00022010171052619365, + "loss": 4.9435, + "mean_token_accuracy": 0.2373737797141075, + "num_tokens": 13000769.0, + "step": 7150 + }, + { + "entropy": 5.695436716079712, + "epoch": 6.146970348087667, + "grad_norm": 1.3046875, + "learning_rate": 0.00021977933640025, + "loss": 4.9391, + "mean_token_accuracy": 0.23648517280817033, + "num_tokens": 13010677.0, + "step": 7155 + }, + { + "entropy": 5.574930858612061, + "epoch": 6.151267726686721, + "grad_norm": 1.28125, + "learning_rate": 0.00021945708285416434, + "loss": 4.7856, + "mean_token_accuracy": 0.2466425433754921, + "num_tokens": 13019791.0, + "step": 7160 + }, + { + "entropy": 5.678705787658691, + "epoch": 6.155565105285776, + "grad_norm": 1.3359375, + "learning_rate": 0.0002191349505916093, + "loss": 4.9675, + "mean_token_accuracy": 0.23267736732959748, + "num_tokens": 13029223.0, + "step": 7165 + }, + { + "entropy": 5.708924913406372, + "epoch": 6.15986248388483, + "grad_norm": 1.2421875, + "learning_rate": 0.00021881294031599318, + "loss": 4.9167, + "mean_token_accuracy": 0.23287765979766845, + "num_tokens": 13038716.0, + "step": 7170 + }, + { + "entropy": 5.715561962127685, + "epoch": 6.164159862483885, + "grad_norm": 1.3984375, + "learning_rate": 0.0002184910527304576, + "loss": 4.9329, + "mean_token_accuracy": 0.23829473853111266, + "num_tokens": 13047915.0, + "step": 7175 + }, + { + "entropy": 5.647942113876343, + "epoch": 6.1684572410829395, + "grad_norm": 1.328125, + "learning_rate": 0.00021816928853787636, + "loss": 4.8862, + "mean_token_accuracy": 0.24437055140733718, + "num_tokens": 13056613.0, + "step": 7180 + }, + { + "entropy": 5.718434190750122, + "epoch": 6.172754619681994, + "grad_norm": 1.28125, + "learning_rate": 0.00021784764844085398, + "loss": 4.9568, + "mean_token_accuracy": 0.23609795272350312, + "num_tokens": 13066658.0, + "step": 7185 + }, + { + "entropy": 5.776039171218872, + "epoch": 6.177051998281049, + "grad_norm": 1.4609375, + "learning_rate": 0.0002175261331417238, + "loss": 4.9589, + "mean_token_accuracy": 0.23155548572540283, + "num_tokens": 13074798.0, + "step": 7190 + }, + { + "entropy": 5.655656957626343, + "epoch": 6.181349376880103, + "grad_norm": 1.375, + "learning_rate": 0.00021720474334254675, + "loss": 4.877, + "mean_token_accuracy": 0.23738462030887603, + "num_tokens": 13084173.0, + "step": 7195 + }, + { + "entropy": 5.679304552078247, + "epoch": 6.185646755479158, + "grad_norm": 1.265625, + "learning_rate": 0.00021688347974510962, + "loss": 4.9038, + "mean_token_accuracy": 0.23641733229160308, + "num_tokens": 13093096.0, + "step": 7200 + }, + { + "entropy": 5.678824186325073, + "epoch": 6.189944134078212, + "grad_norm": 1.53125, + "learning_rate": 0.00021656234305092377, + "loss": 4.904, + "mean_token_accuracy": 0.23884446620941163, + "num_tokens": 13101191.0, + "step": 7205 + }, + { + "entropy": 5.676383590698242, + "epoch": 6.194241512677267, + "grad_norm": 1.4921875, + "learning_rate": 0.0002162413339612234, + "loss": 4.9377, + "mean_token_accuracy": 0.2336137905716896, + "num_tokens": 13109829.0, + "step": 7210 + }, + { + "entropy": 5.654401731491089, + "epoch": 6.198538891276321, + "grad_norm": 1.421875, + "learning_rate": 0.00021592045317696406, + "loss": 4.8817, + "mean_token_accuracy": 0.24019764363765717, + "num_tokens": 13119314.0, + "step": 7215 + }, + { + "entropy": 5.652538299560547, + "epoch": 6.202836269875376, + "grad_norm": 1.390625, + "learning_rate": 0.00021559970139882102, + "loss": 4.8503, + "mean_token_accuracy": 0.24541642367839814, + "num_tokens": 13128113.0, + "step": 7220 + }, + { + "entropy": 5.747891569137574, + "epoch": 6.20713364847443, + "grad_norm": 1.3828125, + "learning_rate": 0.0002152790793271881, + "loss": 5.0009, + "mean_token_accuracy": 0.22410304695367814, + "num_tokens": 13136892.0, + "step": 7225 + }, + { + "entropy": 5.722711181640625, + "epoch": 6.211431027073485, + "grad_norm": 1.1640625, + "learning_rate": 0.00021495858766217558, + "loss": 4.9665, + "mean_token_accuracy": 0.22984595149755477, + "num_tokens": 13146960.0, + "step": 7230 + }, + { + "entropy": 5.677499055862427, + "epoch": 6.2157284056725395, + "grad_norm": 1.3984375, + "learning_rate": 0.00021463822710360932, + "loss": 4.8447, + "mean_token_accuracy": 0.25095522999763487, + "num_tokens": 13156147.0, + "step": 7235 + }, + { + "entropy": 5.732334947586059, + "epoch": 6.220025784271594, + "grad_norm": 1.265625, + "learning_rate": 0.00021431799835102867, + "loss": 4.9396, + "mean_token_accuracy": 0.22682653665542601, + "num_tokens": 13164588.0, + "step": 7240 + }, + { + "entropy": 5.62511248588562, + "epoch": 6.224323162870649, + "grad_norm": 1.28125, + "learning_rate": 0.00021399790210368524, + "loss": 4.88, + "mean_token_accuracy": 0.23860864341259003, + "num_tokens": 13174361.0, + "step": 7245 + }, + { + "entropy": 5.7138762950897215, + "epoch": 6.228620541469703, + "grad_norm": 1.1796875, + "learning_rate": 0.00021367793906054133, + "loss": 5.0856, + "mean_token_accuracy": 0.2224991261959076, + "num_tokens": 13185266.0, + "step": 7250 + }, + { + "entropy": 5.6888185977935795, + "epoch": 6.232917920068758, + "grad_norm": 1.3671875, + "learning_rate": 0.00021335810992026823, + "loss": 4.9142, + "mean_token_accuracy": 0.24534845352172852, + "num_tokens": 13194227.0, + "step": 7255 + }, + { + "entropy": 5.725516080856323, + "epoch": 6.237215298667812, + "grad_norm": 1.4375, + "learning_rate": 0.00021303841538124497, + "loss": 4.9591, + "mean_token_accuracy": 0.23196382820606232, + "num_tokens": 13202569.0, + "step": 7260 + }, + { + "entropy": 5.673784589767456, + "epoch": 6.241512677266867, + "grad_norm": 1.359375, + "learning_rate": 0.00021271885614155685, + "loss": 4.9169, + "mean_token_accuracy": 0.2391177996993065, + "num_tokens": 13212201.0, + "step": 7265 + }, + { + "entropy": 5.58170371055603, + "epoch": 6.245810055865922, + "grad_norm": 1.4375, + "learning_rate": 0.0002123994328989932, + "loss": 4.8384, + "mean_token_accuracy": 0.2410106509923935, + "num_tokens": 13220802.0, + "step": 7270 + }, + { + "entropy": 5.6795917510986325, + "epoch": 6.250107434464977, + "grad_norm": 1.3203125, + "learning_rate": 0.00021208014635104688, + "loss": 4.9909, + "mean_token_accuracy": 0.22773831188678742, + "num_tokens": 13229519.0, + "step": 7275 + }, + { + "entropy": 5.679076099395752, + "epoch": 6.254404813064031, + "grad_norm": 1.3515625, + "learning_rate": 0.00021176099719491209, + "loss": 4.9371, + "mean_token_accuracy": 0.23299687653779982, + "num_tokens": 13238865.0, + "step": 7280 + }, + { + "entropy": 5.627301931381226, + "epoch": 6.258702191663086, + "grad_norm": 1.4453125, + "learning_rate": 0.00021144198612748312, + "loss": 4.8621, + "mean_token_accuracy": 0.24295336604118348, + "num_tokens": 13247259.0, + "step": 7285 + }, + { + "entropy": 5.730584716796875, + "epoch": 6.26299957026214, + "grad_norm": 1.28125, + "learning_rate": 0.00021112311384535243, + "loss": 4.9719, + "mean_token_accuracy": 0.2346948578953743, + "num_tokens": 13256692.0, + "step": 7290 + }, + { + "entropy": 5.713074779510498, + "epoch": 6.267296948861195, + "grad_norm": 1.2109375, + "learning_rate": 0.00021080438104480976, + "loss": 4.8997, + "mean_token_accuracy": 0.23539288341999054, + "num_tokens": 13266109.0, + "step": 7295 + }, + { + "entropy": 5.738828372955322, + "epoch": 6.2715943274602495, + "grad_norm": 1.234375, + "learning_rate": 0.00021048578842184019, + "loss": 4.9833, + "mean_token_accuracy": 0.22857994139194487, + "num_tokens": 13275484.0, + "step": 7300 + }, + { + "entropy": 5.661355638504029, + "epoch": 6.275891706059304, + "grad_norm": 1.34375, + "learning_rate": 0.00021016733667212245, + "loss": 4.8854, + "mean_token_accuracy": 0.23928772211074828, + "num_tokens": 13284755.0, + "step": 7305 + }, + { + "entropy": 5.65988245010376, + "epoch": 6.280189084658359, + "grad_norm": 1.1328125, + "learning_rate": 0.00020984902649102806, + "loss": 4.881, + "mean_token_accuracy": 0.23558754920959474, + "num_tokens": 13294386.0, + "step": 7310 + }, + { + "entropy": 5.669145393371582, + "epoch": 6.284486463257413, + "grad_norm": 1.28125, + "learning_rate": 0.00020953085857361924, + "loss": 4.8806, + "mean_token_accuracy": 0.23975540697574615, + "num_tokens": 13303926.0, + "step": 7315 + }, + { + "entropy": 5.664641571044922, + "epoch": 6.288783841856468, + "grad_norm": 1.4140625, + "learning_rate": 0.00020921283361464754, + "loss": 4.984, + "mean_token_accuracy": 0.22923536598682404, + "num_tokens": 13312727.0, + "step": 7320 + }, + { + "entropy": 5.672109365463257, + "epoch": 6.293081220455522, + "grad_norm": 1.3515625, + "learning_rate": 0.00020889495230855232, + "loss": 4.9516, + "mean_token_accuracy": 0.22691491544246672, + "num_tokens": 13321706.0, + "step": 7325 + }, + { + "entropy": 5.634451389312744, + "epoch": 6.297378599054577, + "grad_norm": 1.2734375, + "learning_rate": 0.00020857721534945923, + "loss": 4.8854, + "mean_token_accuracy": 0.24334731549024582, + "num_tokens": 13330436.0, + "step": 7330 + }, + { + "entropy": 5.706661605834961, + "epoch": 6.301675977653631, + "grad_norm": 1.3515625, + "learning_rate": 0.0002082596234311789, + "loss": 4.9799, + "mean_token_accuracy": 0.22508741170167923, + "num_tokens": 13339334.0, + "step": 7335 + }, + { + "entropy": 5.732862854003907, + "epoch": 6.305973356252686, + "grad_norm": 1.34375, + "learning_rate": 0.0002079421772472051, + "loss": 5.0224, + "mean_token_accuracy": 0.22750386744737625, + "num_tokens": 13348969.0, + "step": 7340 + }, + { + "entropy": 5.760523128509521, + "epoch": 6.31027073485174, + "grad_norm": 1.1328125, + "learning_rate": 0.0002076248774907134, + "loss": 4.9944, + "mean_token_accuracy": 0.22979640066623688, + "num_tokens": 13358467.0, + "step": 7345 + }, + { + "entropy": 5.640356731414795, + "epoch": 6.314568113450795, + "grad_norm": 1.4921875, + "learning_rate": 0.00020730772485455962, + "loss": 4.8248, + "mean_token_accuracy": 0.24465546160936355, + "num_tokens": 13366413.0, + "step": 7350 + }, + { + "entropy": 5.697748041152954, + "epoch": 6.3188654920498495, + "grad_norm": 1.2109375, + "learning_rate": 0.0002069907200312785, + "loss": 4.998, + "mean_token_accuracy": 0.2297839805483818, + "num_tokens": 13376620.0, + "step": 7355 + }, + { + "entropy": 5.674102115631103, + "epoch": 6.323162870648904, + "grad_norm": 1.3515625, + "learning_rate": 0.00020667386371308162, + "loss": 4.9836, + "mean_token_accuracy": 0.22940946370363235, + "num_tokens": 13385492.0, + "step": 7360 + }, + { + "entropy": 5.650719451904297, + "epoch": 6.327460249247959, + "grad_norm": 1.25, + "learning_rate": 0.00020635715659185673, + "loss": 4.9198, + "mean_token_accuracy": 0.23462713062763213, + "num_tokens": 13395562.0, + "step": 7365 + }, + { + "entropy": 5.600523614883423, + "epoch": 6.331757627847013, + "grad_norm": 1.4296875, + "learning_rate": 0.00020604059935916551, + "loss": 4.8568, + "mean_token_accuracy": 0.24552038162946702, + "num_tokens": 13403357.0, + "step": 7370 + }, + { + "entropy": 5.685958814620972, + "epoch": 6.336055006446068, + "grad_norm": 1.3984375, + "learning_rate": 0.00020572419270624255, + "loss": 4.9465, + "mean_token_accuracy": 0.23870250284671785, + "num_tokens": 13412527.0, + "step": 7375 + }, + { + "entropy": 5.696662282943725, + "epoch": 6.340352385045122, + "grad_norm": 1.3203125, + "learning_rate": 0.00020540793732399339, + "loss": 5.0053, + "mean_token_accuracy": 0.22636662870645524, + "num_tokens": 13422455.0, + "step": 7380 + }, + { + "entropy": 5.7542284488677975, + "epoch": 6.344649763644177, + "grad_norm": 1.390625, + "learning_rate": 0.00020509183390299325, + "loss": 5.092, + "mean_token_accuracy": 0.2187615990638733, + "num_tokens": 13431677.0, + "step": 7385 + }, + { + "entropy": 5.588942003250122, + "epoch": 6.348947142243231, + "grad_norm": 1.3203125, + "learning_rate": 0.00020477588313348594, + "loss": 4.8304, + "mean_token_accuracy": 0.2510680601000786, + "num_tokens": 13440522.0, + "step": 7390 + }, + { + "entropy": 5.7484352588653564, + "epoch": 6.353244520842286, + "grad_norm": 1.515625, + "learning_rate": 0.00020446008570538154, + "loss": 4.9445, + "mean_token_accuracy": 0.22700524926185608, + "num_tokens": 13450021.0, + "step": 7395 + }, + { + "entropy": 5.64814863204956, + "epoch": 6.35754189944134, + "grad_norm": 1.3828125, + "learning_rate": 0.0002041444423082554, + "loss": 4.8793, + "mean_token_accuracy": 0.23593862354755402, + "num_tokens": 13458115.0, + "step": 7400 + }, + { + "entropy": 5.707351446151733, + "epoch": 6.361839278040395, + "grad_norm": 1.359375, + "learning_rate": 0.00020382895363134652, + "loss": 4.954, + "mean_token_accuracy": 0.22770389467477797, + "num_tokens": 13466798.0, + "step": 7405 + }, + { + "entropy": 5.667495393753052, + "epoch": 6.3661366566394495, + "grad_norm": 1.3671875, + "learning_rate": 0.00020351362036355602, + "loss": 4.9795, + "mean_token_accuracy": 0.23159152567386626, + "num_tokens": 13476096.0, + "step": 7410 + }, + { + "entropy": 5.661939573287964, + "epoch": 6.370434035238505, + "grad_norm": 1.3125, + "learning_rate": 0.0002031984431934459, + "loss": 4.9256, + "mean_token_accuracy": 0.23647017031908035, + "num_tokens": 13484601.0, + "step": 7415 + }, + { + "entropy": 5.68424654006958, + "epoch": 6.3747314138375595, + "grad_norm": 1.2734375, + "learning_rate": 0.00020288342280923695, + "loss": 4.9062, + "mean_token_accuracy": 0.2412991166114807, + "num_tokens": 13493994.0, + "step": 7420 + }, + { + "entropy": 5.657544279098511, + "epoch": 6.379028792436614, + "grad_norm": 1.3125, + "learning_rate": 0.00020256855989880785, + "loss": 4.943, + "mean_token_accuracy": 0.22665072232484818, + "num_tokens": 13502890.0, + "step": 7425 + }, + { + "entropy": 5.624227142333984, + "epoch": 6.383326171035669, + "grad_norm": 1.3515625, + "learning_rate": 0.00020225385514969336, + "loss": 4.8962, + "mean_token_accuracy": 0.24369400441646577, + "num_tokens": 13512980.0, + "step": 7430 + }, + { + "entropy": 5.700878524780274, + "epoch": 6.387623549634723, + "grad_norm": 1.3125, + "learning_rate": 0.00020193930924908277, + "loss": 4.9713, + "mean_token_accuracy": 0.23523945212364197, + "num_tokens": 13521558.0, + "step": 7435 + }, + { + "entropy": 5.657977867126465, + "epoch": 6.391920928233778, + "grad_norm": 1.1953125, + "learning_rate": 0.00020162492288381867, + "loss": 4.8956, + "mean_token_accuracy": 0.23665117025375365, + "num_tokens": 13531506.0, + "step": 7440 + }, + { + "entropy": 5.6123686790466305, + "epoch": 6.396218306832832, + "grad_norm": 1.2265625, + "learning_rate": 0.0002013106967403953, + "loss": 4.8547, + "mean_token_accuracy": 0.24135282933712005, + "num_tokens": 13540559.0, + "step": 7445 + }, + { + "entropy": 5.714596271514893, + "epoch": 6.400515685431887, + "grad_norm": 1.3984375, + "learning_rate": 0.0002009966315049569, + "loss": 4.965, + "mean_token_accuracy": 0.23248774856328963, + "num_tokens": 13550654.0, + "step": 7450 + }, + { + "entropy": 5.723209571838379, + "epoch": 6.404813064030941, + "grad_norm": 1.3515625, + "learning_rate": 0.0002006827278632964, + "loss": 4.9848, + "mean_token_accuracy": 0.23032907545566558, + "num_tokens": 13560708.0, + "step": 7455 + }, + { + "entropy": 5.694536209106445, + "epoch": 6.409110442629996, + "grad_norm": 1.3203125, + "learning_rate": 0.00020036898650085377, + "loss": 4.8691, + "mean_token_accuracy": 0.23195305913686753, + "num_tokens": 13569330.0, + "step": 7460 + }, + { + "entropy": 5.723634719848633, + "epoch": 6.41340782122905, + "grad_norm": 1.453125, + "learning_rate": 0.00020005540810271493, + "loss": 5.051, + "mean_token_accuracy": 0.21840845048427582, + "num_tokens": 13577500.0, + "step": 7465 + }, + { + "entropy": 5.662380409240723, + "epoch": 6.417705199828105, + "grad_norm": 1.328125, + "learning_rate": 0.00019974199335360976, + "loss": 4.9421, + "mean_token_accuracy": 0.23581697791814804, + "num_tokens": 13586087.0, + "step": 7470 + }, + { + "entropy": 5.6357903480529785, + "epoch": 6.4220025784271595, + "grad_norm": 1.3828125, + "learning_rate": 0.00019942874293791068, + "loss": 4.8988, + "mean_token_accuracy": 0.23675889521837234, + "num_tokens": 13595346.0, + "step": 7475 + }, + { + "entropy": 5.736030340194702, + "epoch": 6.426299957026214, + "grad_norm": 1.3515625, + "learning_rate": 0.00019911565753963145, + "loss": 5.0373, + "mean_token_accuracy": 0.22954674065113068, + "num_tokens": 13604755.0, + "step": 7480 + }, + { + "entropy": 5.741143465042114, + "epoch": 6.430597335625269, + "grad_norm": 1.25, + "learning_rate": 0.0001988027378424254, + "loss": 4.9452, + "mean_token_accuracy": 0.24101046323776246, + "num_tokens": 13613860.0, + "step": 7485 + }, + { + "entropy": 5.619118022918701, + "epoch": 6.434894714224323, + "grad_norm": 1.4609375, + "learning_rate": 0.00019848998452958429, + "loss": 4.8294, + "mean_token_accuracy": 0.24386470913887023, + "num_tokens": 13622574.0, + "step": 7490 + }, + { + "entropy": 5.661189985275269, + "epoch": 6.439192092823378, + "grad_norm": 1.2421875, + "learning_rate": 0.00019817739828403602, + "loss": 4.9752, + "mean_token_accuracy": 0.22600160390138627, + "num_tokens": 13632366.0, + "step": 7495 + }, + { + "entropy": 5.716126537322998, + "epoch": 6.443489471422432, + "grad_norm": 1.2578125, + "learning_rate": 0.00019786497978834422, + "loss": 4.8696, + "mean_token_accuracy": 0.24941558837890626, + "num_tokens": 13640682.0, + "step": 7500 + }, + { + "epoch": 6.443489471422432, + "eval_entropy": 5.460215036933486, + "eval_loss": 5.889508247375488, + "eval_mean_token_accuracy": 0.1832222778954216, + "eval_num_tokens": 13640682.0, + "eval_runtime": 2.2243, + "eval_samples_per_second": 1595.592, + "eval_steps_per_second": 199.618, + "step": 7500 + }, + { + "entropy": 5.671139860153199, + "epoch": 6.447786850021487, + "grad_norm": 1.375, + "learning_rate": 0.00019755272972470602, + "loss": 4.9579, + "mean_token_accuracy": 0.23592828810214997, + "num_tokens": 13649675.0, + "step": 7505 + }, + { + "entropy": 5.6834453582763675, + "epoch": 6.452084228620541, + "grad_norm": 1.4296875, + "learning_rate": 0.00019724064877495057, + "loss": 4.9211, + "mean_token_accuracy": 0.22713227868080138, + "num_tokens": 13658260.0, + "step": 7510 + }, + { + "entropy": 5.629180526733398, + "epoch": 6.456381607219596, + "grad_norm": 1.4453125, + "learning_rate": 0.00019692873762053808, + "loss": 4.8758, + "mean_token_accuracy": 0.24112626761198044, + "num_tokens": 13666571.0, + "step": 7515 + }, + { + "entropy": 5.717655801773072, + "epoch": 6.46067898581865, + "grad_norm": 1.1875, + "learning_rate": 0.00019661699694255785, + "loss": 4.9529, + "mean_token_accuracy": 0.23426357060670852, + "num_tokens": 13675707.0, + "step": 7520 + }, + { + "entropy": 5.730238914489746, + "epoch": 6.464976364417705, + "grad_norm": 1.4609375, + "learning_rate": 0.00019630542742172692, + "loss": 4.9157, + "mean_token_accuracy": 0.24274927675724028, + "num_tokens": 13684796.0, + "step": 7525 + }, + { + "entropy": 5.697819185256958, + "epoch": 6.4692737430167595, + "grad_norm": 1.3359375, + "learning_rate": 0.00019599402973838854, + "loss": 5.0123, + "mean_token_accuracy": 0.22690223902463913, + "num_tokens": 13693158.0, + "step": 7530 + }, + { + "entropy": 5.679841184616089, + "epoch": 6.473571121615814, + "grad_norm": 1.4140625, + "learning_rate": 0.0001956828045725107, + "loss": 4.9862, + "mean_token_accuracy": 0.22812242060899734, + "num_tokens": 13703521.0, + "step": 7535 + }, + { + "entropy": 5.655819082260132, + "epoch": 6.477868500214869, + "grad_norm": 1.34375, + "learning_rate": 0.0001953717526036849, + "loss": 4.8919, + "mean_token_accuracy": 0.2375039428472519, + "num_tokens": 13712337.0, + "step": 7540 + }, + { + "entropy": 5.673346281051636, + "epoch": 6.482165878813923, + "grad_norm": 1.4140625, + "learning_rate": 0.00019506087451112437, + "loss": 4.9142, + "mean_token_accuracy": 0.23074083924293518, + "num_tokens": 13721605.0, + "step": 7545 + }, + { + "entropy": 5.60535888671875, + "epoch": 6.486463257412978, + "grad_norm": 1.4609375, + "learning_rate": 0.00019475017097366244, + "loss": 4.8196, + "mean_token_accuracy": 0.24068238884210585, + "num_tokens": 13730827.0, + "step": 7550 + }, + { + "entropy": 5.727794599533081, + "epoch": 6.490760636012032, + "grad_norm": 1.390625, + "learning_rate": 0.00019443964266975156, + "loss": 4.983, + "mean_token_accuracy": 0.2254954144358635, + "num_tokens": 13740128.0, + "step": 7555 + }, + { + "entropy": 5.665542125701904, + "epoch": 6.495058014611088, + "grad_norm": 1.3671875, + "learning_rate": 0.0001941292902774614, + "loss": 4.9594, + "mean_token_accuracy": 0.22979557663202285, + "num_tokens": 13748428.0, + "step": 7560 + }, + { + "entropy": 5.651149702072144, + "epoch": 6.499355393210142, + "grad_norm": 1.2578125, + "learning_rate": 0.00019381911447447742, + "loss": 4.9317, + "mean_token_accuracy": 0.23943807184696198, + "num_tokens": 13757109.0, + "step": 7565 + }, + { + "entropy": 5.731936073303222, + "epoch": 6.503652771809197, + "grad_norm": 1.453125, + "learning_rate": 0.00019350911593809977, + "loss": 4.9893, + "mean_token_accuracy": 0.22604165077209473, + "num_tokens": 13766281.0, + "step": 7570 + }, + { + "entropy": 5.691824197769165, + "epoch": 6.507950150408251, + "grad_norm": 1.2578125, + "learning_rate": 0.00019319929534524128, + "loss": 4.9652, + "mean_token_accuracy": 0.2340141773223877, + "num_tokens": 13775535.0, + "step": 7575 + }, + { + "entropy": 5.713566875457763, + "epoch": 6.512247529007306, + "grad_norm": 1.3359375, + "learning_rate": 0.00019288965337242636, + "loss": 4.9498, + "mean_token_accuracy": 0.22838044166564941, + "num_tokens": 13784099.0, + "step": 7580 + }, + { + "entropy": 5.790343189239502, + "epoch": 6.51654490760636, + "grad_norm": 1.3125, + "learning_rate": 0.00019258019069578924, + "loss": 5.0787, + "mean_token_accuracy": 0.22436539083719254, + "num_tokens": 13793098.0, + "step": 7585 + }, + { + "entropy": 5.607115888595581, + "epoch": 6.520842286205415, + "grad_norm": 1.3671875, + "learning_rate": 0.00019227090799107266, + "loss": 4.9188, + "mean_token_accuracy": 0.23831139653921127, + "num_tokens": 13801847.0, + "step": 7590 + }, + { + "entropy": 5.62153811454773, + "epoch": 6.5251396648044695, + "grad_norm": 1.28125, + "learning_rate": 0.0001919618059336265, + "loss": 4.8026, + "mean_token_accuracy": 0.23950466215610505, + "num_tokens": 13810599.0, + "step": 7595 + }, + { + "entropy": 5.7144591331481935, + "epoch": 6.529437043403524, + "grad_norm": 1.453125, + "learning_rate": 0.00019165288519840617, + "loss": 4.9558, + "mean_token_accuracy": 0.2338729202747345, + "num_tokens": 13819602.0, + "step": 7600 + }, + { + "entropy": 5.640046072006226, + "epoch": 6.533734422002579, + "grad_norm": 1.4375, + "learning_rate": 0.000191344146459971, + "loss": 4.917, + "mean_token_accuracy": 0.23910915553569795, + "num_tokens": 13828254.0, + "step": 7605 + }, + { + "entropy": 5.665197372436523, + "epoch": 6.538031800601633, + "grad_norm": 1.3125, + "learning_rate": 0.00019103559039248302, + "loss": 4.962, + "mean_token_accuracy": 0.2355642482638359, + "num_tokens": 13837163.0, + "step": 7610 + }, + { + "entropy": 5.72585711479187, + "epoch": 6.542329179200688, + "grad_norm": 1.3828125, + "learning_rate": 0.0001907272176697052, + "loss": 4.9707, + "mean_token_accuracy": 0.2294859230518341, + "num_tokens": 13846373.0, + "step": 7615 + }, + { + "entropy": 5.626835584640503, + "epoch": 6.546626557799742, + "grad_norm": 1.3046875, + "learning_rate": 0.00019041902896500059, + "loss": 4.9055, + "mean_token_accuracy": 0.23354367166757584, + "num_tokens": 13855846.0, + "step": 7620 + }, + { + "entropy": 5.670918416976929, + "epoch": 6.550923936398797, + "grad_norm": 1.3515625, + "learning_rate": 0.00019011102495132993, + "loss": 4.9116, + "mean_token_accuracy": 0.23671811074018478, + "num_tokens": 13864723.0, + "step": 7625 + }, + { + "entropy": 5.755877733230591, + "epoch": 6.555221314997851, + "grad_norm": 1.1796875, + "learning_rate": 0.00018980320630125104, + "loss": 5.0723, + "mean_token_accuracy": 0.2211229085922241, + "num_tokens": 13873418.0, + "step": 7630 + }, + { + "entropy": 5.742153120040894, + "epoch": 6.559518693596906, + "grad_norm": 1.578125, + "learning_rate": 0.00018949557368691666, + "loss": 4.9595, + "mean_token_accuracy": 0.23428151607513428, + "num_tokens": 13881890.0, + "step": 7635 + }, + { + "entropy": 5.713848876953125, + "epoch": 6.56381607219596, + "grad_norm": 1.2421875, + "learning_rate": 0.00018918812778007343, + "loss": 4.9983, + "mean_token_accuracy": 0.230608469247818, + "num_tokens": 13891289.0, + "step": 7640 + }, + { + "entropy": 5.672276353836059, + "epoch": 6.568113450795015, + "grad_norm": 1.328125, + "learning_rate": 0.00018888086925206054, + "loss": 4.9145, + "mean_token_accuracy": 0.2302643895149231, + "num_tokens": 13900344.0, + "step": 7645 + }, + { + "entropy": 5.718430042266846, + "epoch": 6.5724108293940695, + "grad_norm": 1.4453125, + "learning_rate": 0.00018857379877380763, + "loss": 4.9505, + "mean_token_accuracy": 0.23823903053998946, + "num_tokens": 13909108.0, + "step": 7650 + }, + { + "entropy": 5.667624759674072, + "epoch": 6.576708207993124, + "grad_norm": 1.28125, + "learning_rate": 0.00018826691701583404, + "loss": 4.982, + "mean_token_accuracy": 0.2340136095881462, + "num_tokens": 13918458.0, + "step": 7655 + }, + { + "entropy": 5.681752157211304, + "epoch": 6.581005586592179, + "grad_norm": 1.390625, + "learning_rate": 0.00018796022464824663, + "loss": 4.9239, + "mean_token_accuracy": 0.2388586074113846, + "num_tokens": 13927186.0, + "step": 7660 + }, + { + "entropy": 5.710815858840943, + "epoch": 6.585302965191233, + "grad_norm": 1.359375, + "learning_rate": 0.00018765372234073912, + "loss": 5.0222, + "mean_token_accuracy": 0.22159896939992904, + "num_tokens": 13936701.0, + "step": 7665 + }, + { + "entropy": 5.685254335403442, + "epoch": 6.589600343790288, + "grad_norm": 1.484375, + "learning_rate": 0.00018734741076259005, + "loss": 5.0356, + "mean_token_accuracy": 0.2193260222673416, + "num_tokens": 13945842.0, + "step": 7670 + }, + { + "entropy": 5.625968742370605, + "epoch": 6.593897722389342, + "grad_norm": 1.234375, + "learning_rate": 0.00018704129058266152, + "loss": 4.9129, + "mean_token_accuracy": 0.23576617240905762, + "num_tokens": 13955675.0, + "step": 7675 + }, + { + "entropy": 5.746795892715454, + "epoch": 6.598195100988397, + "grad_norm": 1.3125, + "learning_rate": 0.00018673536246939743, + "loss": 5.0022, + "mean_token_accuracy": 0.23313231617212296, + "num_tokens": 13964153.0, + "step": 7680 + }, + { + "entropy": 5.680375480651856, + "epoch": 6.602492479587451, + "grad_norm": 1.421875, + "learning_rate": 0.00018642962709082274, + "loss": 4.9636, + "mean_token_accuracy": 0.23241930603981018, + "num_tokens": 13972141.0, + "step": 7685 + }, + { + "entropy": 5.625921630859375, + "epoch": 6.606789858186506, + "grad_norm": 1.4453125, + "learning_rate": 0.00018612408511454103, + "loss": 4.856, + "mean_token_accuracy": 0.23955829739570617, + "num_tokens": 13981369.0, + "step": 7690 + }, + { + "entropy": 5.666980743408203, + "epoch": 6.61108723678556, + "grad_norm": 1.3828125, + "learning_rate": 0.00018581873720773423, + "loss": 4.9019, + "mean_token_accuracy": 0.23360517770051956, + "num_tokens": 13990626.0, + "step": 7695 + }, + { + "entropy": 5.673977088928223, + "epoch": 6.615384615384615, + "grad_norm": 1.34375, + "learning_rate": 0.00018551358403715989, + "loss": 5.0046, + "mean_token_accuracy": 0.22494971752166748, + "num_tokens": 13999399.0, + "step": 7700 + }, + { + "entropy": 5.697866153717041, + "epoch": 6.61968199398367, + "grad_norm": 1.4140625, + "learning_rate": 0.00018520862626915052, + "loss": 4.8992, + "mean_token_accuracy": 0.2335071235895157, + "num_tokens": 14007487.0, + "step": 7705 + }, + { + "entropy": 5.673949384689331, + "epoch": 6.623979372582724, + "grad_norm": 1.3046875, + "learning_rate": 0.00018490386456961223, + "loss": 4.8899, + "mean_token_accuracy": 0.23473947495222092, + "num_tokens": 14016779.0, + "step": 7710 + }, + { + "entropy": 5.728198099136352, + "epoch": 6.6282767511817795, + "grad_norm": 1.3515625, + "learning_rate": 0.0001845992996040224, + "loss": 4.9727, + "mean_token_accuracy": 0.23272737711668015, + "num_tokens": 14025770.0, + "step": 7715 + }, + { + "entropy": 5.64153265953064, + "epoch": 6.632574129780834, + "grad_norm": 1.34375, + "learning_rate": 0.00018429493203742946, + "loss": 4.8628, + "mean_token_accuracy": 0.2445816546678543, + "num_tokens": 14035304.0, + "step": 7720 + }, + { + "entropy": 5.660477972030639, + "epoch": 6.636871508379889, + "grad_norm": 1.515625, + "learning_rate": 0.00018399076253445052, + "loss": 4.8205, + "mean_token_accuracy": 0.2434508979320526, + "num_tokens": 14044058.0, + "step": 7725 + }, + { + "entropy": 5.669250535964966, + "epoch": 6.641168886978943, + "grad_norm": 1.3359375, + "learning_rate": 0.00018368679175927012, + "loss": 4.8682, + "mean_token_accuracy": 0.24331035017967223, + "num_tokens": 14052709.0, + "step": 7730 + }, + { + "entropy": 5.617627811431885, + "epoch": 6.645466265577998, + "grad_norm": 1.390625, + "learning_rate": 0.00018338302037563885, + "loss": 4.8264, + "mean_token_accuracy": 0.2451078027486801, + "num_tokens": 14061346.0, + "step": 7735 + }, + { + "entropy": 5.628537797927857, + "epoch": 6.649763644177052, + "grad_norm": 1.4375, + "learning_rate": 0.00018307944904687211, + "loss": 4.9163, + "mean_token_accuracy": 0.2382143720984459, + "num_tokens": 14070409.0, + "step": 7740 + }, + { + "entropy": 5.7070694923400875, + "epoch": 6.654061022776107, + "grad_norm": 1.5625, + "learning_rate": 0.0001827760784358483, + "loss": 4.9999, + "mean_token_accuracy": 0.22305570393800736, + "num_tokens": 14079448.0, + "step": 7745 + }, + { + "entropy": 5.732889890670776, + "epoch": 6.658358401375161, + "grad_norm": 1.3203125, + "learning_rate": 0.00018247290920500776, + "loss": 4.9949, + "mean_token_accuracy": 0.23120992481708527, + "num_tokens": 14088452.0, + "step": 7750 + }, + { + "entropy": 5.68429913520813, + "epoch": 6.662655779974216, + "grad_norm": 1.421875, + "learning_rate": 0.00018216994201635062, + "loss": 4.9634, + "mean_token_accuracy": 0.23368675857782364, + "num_tokens": 14097956.0, + "step": 7755 + }, + { + "entropy": 5.722675609588623, + "epoch": 6.66695315857327, + "grad_norm": 1.40625, + "learning_rate": 0.00018186717753143633, + "loss": 4.9065, + "mean_token_accuracy": 0.23614079207181932, + "num_tokens": 14106771.0, + "step": 7760 + }, + { + "entropy": 5.715720987319946, + "epoch": 6.671250537172325, + "grad_norm": 1.2578125, + "learning_rate": 0.00018156461641138133, + "loss": 4.9715, + "mean_token_accuracy": 0.227101469039917, + "num_tokens": 14115871.0, + "step": 7765 + }, + { + "entropy": 5.6637770652771, + "epoch": 6.6755479157713795, + "grad_norm": 1.2890625, + "learning_rate": 0.00018126225931685836, + "loss": 4.9167, + "mean_token_accuracy": 0.23606135249137877, + "num_tokens": 14125316.0, + "step": 7770 + }, + { + "entropy": 5.600428295135498, + "epoch": 6.679845294370434, + "grad_norm": 1.453125, + "learning_rate": 0.00018096010690809444, + "loss": 4.8643, + "mean_token_accuracy": 0.24022420942783357, + "num_tokens": 14134244.0, + "step": 7775 + }, + { + "entropy": 5.712977886199951, + "epoch": 6.684142672969489, + "grad_norm": 1.3203125, + "learning_rate": 0.00018065815984486962, + "loss": 4.9966, + "mean_token_accuracy": 0.22435731440782547, + "num_tokens": 14143600.0, + "step": 7780 + }, + { + "entropy": 5.677579307556153, + "epoch": 6.688440051568543, + "grad_norm": 1.3671875, + "learning_rate": 0.00018035641878651548, + "loss": 4.8938, + "mean_token_accuracy": 0.2324790060520172, + "num_tokens": 14152112.0, + "step": 7785 + }, + { + "entropy": 5.643826341629028, + "epoch": 6.692737430167598, + "grad_norm": 1.4921875, + "learning_rate": 0.00018005488439191408, + "loss": 4.8629, + "mean_token_accuracy": 0.23934897482395173, + "num_tokens": 14161044.0, + "step": 7790 + }, + { + "entropy": 5.67745008468628, + "epoch": 6.697034808766652, + "grad_norm": 1.46875, + "learning_rate": 0.0001797535573194959, + "loss": 5.0141, + "mean_token_accuracy": 0.23301784992218016, + "num_tokens": 14169629.0, + "step": 7795 + }, + { + "entropy": 5.669470548629761, + "epoch": 6.701332187365707, + "grad_norm": 1.21875, + "learning_rate": 0.0001794524382272389, + "loss": 4.9116, + "mean_token_accuracy": 0.23372034281492232, + "num_tokens": 14179234.0, + "step": 7800 + }, + { + "entropy": 5.674129343032837, + "epoch": 6.705629565964761, + "grad_norm": 1.1953125, + "learning_rate": 0.0001791515277726667, + "loss": 4.9562, + "mean_token_accuracy": 0.24207875579595567, + "num_tokens": 14188887.0, + "step": 7805 + }, + { + "entropy": 5.629077529907226, + "epoch": 6.709926944563816, + "grad_norm": 1.3203125, + "learning_rate": 0.00017885082661284763, + "loss": 4.8625, + "mean_token_accuracy": 0.2409089684486389, + "num_tokens": 14197731.0, + "step": 7810 + }, + { + "entropy": 5.685734653472901, + "epoch": 6.71422432316287, + "grad_norm": 1.2265625, + "learning_rate": 0.00017855033540439274, + "loss": 4.9971, + "mean_token_accuracy": 0.22851601541042327, + "num_tokens": 14206851.0, + "step": 7815 + }, + { + "entropy": 5.666434955596924, + "epoch": 6.718521701761925, + "grad_norm": 1.5078125, + "learning_rate": 0.00017825005480345463, + "loss": 4.9914, + "mean_token_accuracy": 0.23279282301664353, + "num_tokens": 14215879.0, + "step": 7820 + }, + { + "entropy": 5.664918899536133, + "epoch": 6.7228190803609795, + "grad_norm": 1.4296875, + "learning_rate": 0.00017794998546572627, + "loss": 4.8397, + "mean_token_accuracy": 0.244611656665802, + "num_tokens": 14223798.0, + "step": 7825 + }, + { + "entropy": 5.720886945724487, + "epoch": 6.727116458960034, + "grad_norm": 1.203125, + "learning_rate": 0.0001776501280464391, + "loss": 4.9608, + "mean_token_accuracy": 0.2350848749279976, + "num_tokens": 14233234.0, + "step": 7830 + }, + { + "entropy": 5.684752702713013, + "epoch": 6.731413837559089, + "grad_norm": 1.46875, + "learning_rate": 0.00017735048320036197, + "loss": 4.904, + "mean_token_accuracy": 0.228993958234787, + "num_tokens": 14241851.0, + "step": 7835 + }, + { + "entropy": 5.690377855300904, + "epoch": 6.735711216158143, + "grad_norm": 1.46875, + "learning_rate": 0.00017705105158179917, + "loss": 5.0018, + "mean_token_accuracy": 0.22215719074010848, + "num_tokens": 14251578.0, + "step": 7840 + }, + { + "entropy": 5.726417493820191, + "epoch": 6.740008594757198, + "grad_norm": 1.25, + "learning_rate": 0.00017675183384458987, + "loss": 5.0221, + "mean_token_accuracy": 0.22361525744199753, + "num_tokens": 14261122.0, + "step": 7845 + }, + { + "entropy": 5.738840818405151, + "epoch": 6.744305973356253, + "grad_norm": 1.5, + "learning_rate": 0.00017645283064210616, + "loss": 4.9072, + "mean_token_accuracy": 0.2399264469742775, + "num_tokens": 14270594.0, + "step": 7850 + }, + { + "entropy": 5.689656162261963, + "epoch": 6.748603351955307, + "grad_norm": 1.390625, + "learning_rate": 0.00017615404262725132, + "loss": 4.9534, + "mean_token_accuracy": 0.23406831324100494, + "num_tokens": 14279646.0, + "step": 7855 + }, + { + "entropy": 5.686764335632324, + "epoch": 6.752900730554362, + "grad_norm": 1.4296875, + "learning_rate": 0.00017585547045245885, + "loss": 4.8961, + "mean_token_accuracy": 0.241571407020092, + "num_tokens": 14288555.0, + "step": 7860 + }, + { + "entropy": 5.686032819747925, + "epoch": 6.757198109153417, + "grad_norm": 1.4296875, + "learning_rate": 0.00017555711476969138, + "loss": 4.9301, + "mean_token_accuracy": 0.23303429484367372, + "num_tokens": 14297813.0, + "step": 7865 + }, + { + "entropy": 5.6986595630645756, + "epoch": 6.761495487752471, + "grad_norm": 1.453125, + "learning_rate": 0.00017525897623043806, + "loss": 4.9084, + "mean_token_accuracy": 0.2414133533835411, + "num_tokens": 14305779.0, + "step": 7870 + }, + { + "entropy": 5.703876495361328, + "epoch": 6.765792866351526, + "grad_norm": 1.46875, + "learning_rate": 0.00017496105548571472, + "loss": 5.0062, + "mean_token_accuracy": 0.220834356546402, + "num_tokens": 14314419.0, + "step": 7875 + }, + { + "entropy": 5.679584407806397, + "epoch": 6.77009024495058, + "grad_norm": 1.4609375, + "learning_rate": 0.00017466335318606086, + "loss": 4.9296, + "mean_token_accuracy": 0.23031468242406844, + "num_tokens": 14322959.0, + "step": 7880 + }, + { + "entropy": 5.710860538482666, + "epoch": 6.774387623549635, + "grad_norm": 1.21875, + "learning_rate": 0.00017436586998153947, + "loss": 4.9121, + "mean_token_accuracy": 0.237626251578331, + "num_tokens": 14332270.0, + "step": 7885 + }, + { + "entropy": 5.667410135269165, + "epoch": 6.7786850021486895, + "grad_norm": 1.2421875, + "learning_rate": 0.00017406860652173495, + "loss": 4.9146, + "mean_token_accuracy": 0.2343543827533722, + "num_tokens": 14341701.0, + "step": 7890 + }, + { + "entropy": 5.712936305999756, + "epoch": 6.782982380747744, + "grad_norm": 1.5078125, + "learning_rate": 0.00017377156345575176, + "loss": 4.9341, + "mean_token_accuracy": 0.2295023277401924, + "num_tokens": 14349551.0, + "step": 7895 + }, + { + "entropy": 5.582612323760986, + "epoch": 6.787279759346799, + "grad_norm": 1.375, + "learning_rate": 0.00017347474143221338, + "loss": 4.8532, + "mean_token_accuracy": 0.2416646361351013, + "num_tokens": 14358577.0, + "step": 7900 + }, + { + "entropy": 5.747670841217041, + "epoch": 6.791577137945853, + "grad_norm": 1.3203125, + "learning_rate": 0.00017317814109926044, + "loss": 4.98, + "mean_token_accuracy": 0.2275027111172676, + "num_tokens": 14367862.0, + "step": 7905 + }, + { + "entropy": 5.605372095108033, + "epoch": 6.795874516544908, + "grad_norm": 1.21875, + "learning_rate": 0.0001728817631045495, + "loss": 4.9242, + "mean_token_accuracy": 0.23678470700979232, + "num_tokens": 14377414.0, + "step": 7910 + }, + { + "entropy": 5.592658567428589, + "epoch": 6.800171895143962, + "grad_norm": 1.28125, + "learning_rate": 0.0001725856080952516, + "loss": 4.8519, + "mean_token_accuracy": 0.250497567653656, + "num_tokens": 14387239.0, + "step": 7915 + }, + { + "entropy": 5.6137172222137455, + "epoch": 6.804469273743017, + "grad_norm": 1.375, + "learning_rate": 0.0001722896767180509, + "loss": 4.8798, + "mean_token_accuracy": 0.24150066673755646, + "num_tokens": 14396076.0, + "step": 7920 + }, + { + "entropy": 5.676685476303101, + "epoch": 6.808766652342071, + "grad_norm": 1.2734375, + "learning_rate": 0.00017199396961914334, + "loss": 4.9487, + "mean_token_accuracy": 0.2327686607837677, + "num_tokens": 14404982.0, + "step": 7925 + }, + { + "entropy": 5.641691255569458, + "epoch": 6.813064030941126, + "grad_norm": 1.3984375, + "learning_rate": 0.00017169848744423506, + "loss": 4.8727, + "mean_token_accuracy": 0.2303582951426506, + "num_tokens": 14413364.0, + "step": 7930 + }, + { + "entropy": 5.735635137557983, + "epoch": 6.81736140954018, + "grad_norm": 1.2109375, + "learning_rate": 0.00017140323083854076, + "loss": 5.0197, + "mean_token_accuracy": 0.23055720925331116, + "num_tokens": 14424279.0, + "step": 7935 + }, + { + "entropy": 5.668535566329956, + "epoch": 6.821658788139235, + "grad_norm": 1.3828125, + "learning_rate": 0.00017110820044678317, + "loss": 4.994, + "mean_token_accuracy": 0.22530962973833085, + "num_tokens": 14432931.0, + "step": 7940 + }, + { + "entropy": 5.685610580444336, + "epoch": 6.8259561667382895, + "grad_norm": 1.3203125, + "learning_rate": 0.00017081339691319054, + "loss": 4.9347, + "mean_token_accuracy": 0.2323356956243515, + "num_tokens": 14442652.0, + "step": 7945 + }, + { + "entropy": 5.704575395584106, + "epoch": 6.830253545337344, + "grad_norm": 1.296875, + "learning_rate": 0.00017051882088149612, + "loss": 4.9181, + "mean_token_accuracy": 0.2219302698969841, + "num_tokens": 14452061.0, + "step": 7950 + }, + { + "entropy": 5.685388898849487, + "epoch": 6.834550923936399, + "grad_norm": 1.3046875, + "learning_rate": 0.00017022447299493599, + "loss": 4.8898, + "mean_token_accuracy": 0.23219588547945022, + "num_tokens": 14460771.0, + "step": 7955 + }, + { + "entropy": 5.70946888923645, + "epoch": 6.838848302535453, + "grad_norm": 1.28125, + "learning_rate": 0.00016993035389624854, + "loss": 5.0197, + "mean_token_accuracy": 0.22667427957057953, + "num_tokens": 14469983.0, + "step": 7960 + }, + { + "entropy": 5.669454717636109, + "epoch": 6.843145681134508, + "grad_norm": 1.3984375, + "learning_rate": 0.0001696364642276722, + "loss": 4.9164, + "mean_token_accuracy": 0.23280643969774245, + "num_tokens": 14478641.0, + "step": 7965 + }, + { + "entropy": 5.699934196472168, + "epoch": 6.847443059733562, + "grad_norm": 1.265625, + "learning_rate": 0.00016934280463094448, + "loss": 4.9913, + "mean_token_accuracy": 0.2324465572834015, + "num_tokens": 14487922.0, + "step": 7970 + }, + { + "entropy": 5.636373853683471, + "epoch": 6.851740438332617, + "grad_norm": 1.5625, + "learning_rate": 0.00016904937574730062, + "loss": 4.8422, + "mean_token_accuracy": 0.24668496400117873, + "num_tokens": 14496259.0, + "step": 7975 + }, + { + "entropy": 5.7063679695129395, + "epoch": 6.856037816931671, + "grad_norm": 1.5625, + "learning_rate": 0.00016875617821747208, + "loss": 4.9453, + "mean_token_accuracy": 0.229776830971241, + "num_tokens": 14504366.0, + "step": 7980 + }, + { + "entropy": 5.63564167022705, + "epoch": 6.860335195530726, + "grad_norm": 1.203125, + "learning_rate": 0.00016846321268168508, + "loss": 4.9484, + "mean_token_accuracy": 0.23471348434686662, + "num_tokens": 14513561.0, + "step": 7985 + }, + { + "entropy": 5.688099098205567, + "epoch": 6.8646325741297805, + "grad_norm": 1.34375, + "learning_rate": 0.00016817047977965905, + "loss": 4.8929, + "mean_token_accuracy": 0.23645369410514833, + "num_tokens": 14522531.0, + "step": 7990 + }, + { + "entropy": 5.707848453521729, + "epoch": 6.868929952728836, + "grad_norm": 1.4296875, + "learning_rate": 0.0001678779801506058, + "loss": 4.9288, + "mean_token_accuracy": 0.2295157477259636, + "num_tokens": 14531375.0, + "step": 7995 + }, + { + "entropy": 5.671221542358398, + "epoch": 6.8732273313278895, + "grad_norm": 1.328125, + "learning_rate": 0.00016758571443322774, + "loss": 4.9612, + "mean_token_accuracy": 0.2283916264772415, + "num_tokens": 14541081.0, + "step": 8000 + }, + { + "epoch": 6.8732273313278895, + "eval_entropy": 5.498058859292452, + "eval_loss": 5.869622707366943, + "eval_mean_token_accuracy": 0.18391755706555135, + "eval_num_tokens": 14541081.0, + "eval_runtime": 2.047, + "eval_samples_per_second": 1733.741, + "eval_steps_per_second": 216.901, + "step": 8000 + }, + { + "entropy": 5.61028299331665, + "epoch": 6.877524709926945, + "grad_norm": 1.3046875, + "learning_rate": 0.0001672936832657162, + "loss": 4.8721, + "mean_token_accuracy": 0.24735442847013472, + "num_tokens": 14550129.0, + "step": 8005 + }, + { + "entropy": 5.746318817138672, + "epoch": 6.8818220885259995, + "grad_norm": 1.53125, + "learning_rate": 0.00016700188728575047, + "loss": 5.0547, + "mean_token_accuracy": 0.2224505975842476, + "num_tokens": 14559051.0, + "step": 8010 + }, + { + "entropy": 5.652448987960815, + "epoch": 6.886119467125054, + "grad_norm": 1.3046875, + "learning_rate": 0.00016671032713049655, + "loss": 4.9551, + "mean_token_accuracy": 0.2368941769003868, + "num_tokens": 14567719.0, + "step": 8015 + }, + { + "entropy": 5.7099028587341305, + "epoch": 6.890416845724109, + "grad_norm": 1.40625, + "learning_rate": 0.00016641900343660515, + "loss": 4.9827, + "mean_token_accuracy": 0.23374326676130294, + "num_tokens": 14576256.0, + "step": 8020 + }, + { + "entropy": 5.70998477935791, + "epoch": 6.894714224323163, + "grad_norm": 1.1328125, + "learning_rate": 0.0001661279168402107, + "loss": 4.9877, + "mean_token_accuracy": 0.22852143943309783, + "num_tokens": 14586392.0, + "step": 8025 + }, + { + "entropy": 5.655804634094238, + "epoch": 6.899011602922218, + "grad_norm": 1.4453125, + "learning_rate": 0.00016583706797693008, + "loss": 4.9559, + "mean_token_accuracy": 0.23013717234134673, + "num_tokens": 14595448.0, + "step": 8030 + }, + { + "entropy": 5.681487083435059, + "epoch": 6.903308981521272, + "grad_norm": 1.328125, + "learning_rate": 0.00016554645748186105, + "loss": 4.9868, + "mean_token_accuracy": 0.23257408142089844, + "num_tokens": 14604242.0, + "step": 8035 + }, + { + "entropy": 5.766960859298706, + "epoch": 6.907606360120327, + "grad_norm": 1.328125, + "learning_rate": 0.00016525608598958063, + "loss": 5.0582, + "mean_token_accuracy": 0.2256121054291725, + "num_tokens": 14614983.0, + "step": 8040 + }, + { + "entropy": 5.7032266616821286, + "epoch": 6.911903738719381, + "grad_norm": 1.359375, + "learning_rate": 0.00016496595413414421, + "loss": 4.9188, + "mean_token_accuracy": 0.23416159003973008, + "num_tokens": 14624748.0, + "step": 8045 + }, + { + "entropy": 5.662182235717774, + "epoch": 6.916201117318436, + "grad_norm": 1.1875, + "learning_rate": 0.00016467606254908355, + "loss": 4.8949, + "mean_token_accuracy": 0.23815073519945146, + "num_tokens": 14633642.0, + "step": 8050 + }, + { + "entropy": 5.694502353668213, + "epoch": 6.9204984959174904, + "grad_norm": 1.2890625, + "learning_rate": 0.00016438641186740632, + "loss": 4.9805, + "mean_token_accuracy": 0.22760697454214096, + "num_tokens": 14642549.0, + "step": 8055 + }, + { + "entropy": 5.6843287467956545, + "epoch": 6.924795874516545, + "grad_norm": 1.3359375, + "learning_rate": 0.00016409700272159371, + "loss": 4.9796, + "mean_token_accuracy": 0.2324282094836235, + "num_tokens": 14651642.0, + "step": 8060 + }, + { + "entropy": 5.724811697006226, + "epoch": 6.9290932531155995, + "grad_norm": 1.25, + "learning_rate": 0.00016380783574359957, + "loss": 4.9666, + "mean_token_accuracy": 0.23225385397672654, + "num_tokens": 14661052.0, + "step": 8065 + }, + { + "entropy": 5.673737716674805, + "epoch": 6.933390631714654, + "grad_norm": 1.4453125, + "learning_rate": 0.0001635189115648491, + "loss": 4.9513, + "mean_token_accuracy": 0.2355537384748459, + "num_tokens": 14670292.0, + "step": 8070 + }, + { + "entropy": 5.640899229049682, + "epoch": 6.937688010313709, + "grad_norm": 1.3828125, + "learning_rate": 0.00016323023081623705, + "loss": 4.872, + "mean_token_accuracy": 0.24542313069105148, + "num_tokens": 14679735.0, + "step": 8075 + }, + { + "entropy": 5.714216613769532, + "epoch": 6.941985388912763, + "grad_norm": 1.3046875, + "learning_rate": 0.00016294179412812702, + "loss": 4.9885, + "mean_token_accuracy": 0.22407402098178864, + "num_tokens": 14688710.0, + "step": 8080 + }, + { + "entropy": 5.703889846801758, + "epoch": 6.946282767511818, + "grad_norm": 1.3203125, + "learning_rate": 0.00016265360213034923, + "loss": 5.0529, + "mean_token_accuracy": 0.21957808136940002, + "num_tokens": 14698523.0, + "step": 8085 + }, + { + "entropy": 5.630609178543091, + "epoch": 6.950580146110872, + "grad_norm": 1.1953125, + "learning_rate": 0.00016236565545220007, + "loss": 4.9523, + "mean_token_accuracy": 0.2298360839486122, + "num_tokens": 14707674.0, + "step": 8090 + }, + { + "entropy": 5.645981884002685, + "epoch": 6.954877524709927, + "grad_norm": 1.25, + "learning_rate": 0.00016207795472243975, + "loss": 4.868, + "mean_token_accuracy": 0.2401219502091408, + "num_tokens": 14716600.0, + "step": 8095 + }, + { + "entropy": 5.747059631347656, + "epoch": 6.959174903308981, + "grad_norm": 1.4921875, + "learning_rate": 0.00016179050056929173, + "loss": 5.0359, + "mean_token_accuracy": 0.22199208289384842, + "num_tokens": 14726112.0, + "step": 8100 + }, + { + "entropy": 5.6999822616577145, + "epoch": 6.963472281908036, + "grad_norm": 1.3828125, + "learning_rate": 0.00016150329362044102, + "loss": 4.9225, + "mean_token_accuracy": 0.23735381215810775, + "num_tokens": 14735126.0, + "step": 8105 + }, + { + "entropy": 5.706126689910889, + "epoch": 6.9677696605070905, + "grad_norm": 1.25, + "learning_rate": 0.00016121633450303285, + "loss": 4.9392, + "mean_token_accuracy": 0.22967226356267928, + "num_tokens": 14744346.0, + "step": 8110 + }, + { + "entropy": 5.784051847457886, + "epoch": 6.972067039106145, + "grad_norm": 1.2734375, + "learning_rate": 0.00016092962384367122, + "loss": 5.0323, + "mean_token_accuracy": 0.22371545135974885, + "num_tokens": 14753322.0, + "step": 8115 + }, + { + "entropy": 5.647177982330322, + "epoch": 6.9763644177051995, + "grad_norm": 1.3125, + "learning_rate": 0.0001606431622684176, + "loss": 4.9358, + "mean_token_accuracy": 0.23805618584156035, + "num_tokens": 14762384.0, + "step": 8120 + }, + { + "entropy": 5.661736106872558, + "epoch": 6.980661796304254, + "grad_norm": 1.3046875, + "learning_rate": 0.00016035695040278935, + "loss": 4.9693, + "mean_token_accuracy": 0.23804220259189607, + "num_tokens": 14771451.0, + "step": 8125 + }, + { + "entropy": 5.720511436462402, + "epoch": 6.984959174903309, + "grad_norm": 1.2578125, + "learning_rate": 0.00016007098887175914, + "loss": 4.9862, + "mean_token_accuracy": 0.2279539957642555, + "num_tokens": 14780662.0, + "step": 8130 + }, + { + "entropy": 5.706746292114258, + "epoch": 6.989256553502363, + "grad_norm": 1.4765625, + "learning_rate": 0.00015978527829975254, + "loss": 4.9077, + "mean_token_accuracy": 0.2372632071375847, + "num_tokens": 14789201.0, + "step": 8135 + }, + { + "entropy": 5.678561067581176, + "epoch": 6.993553932101419, + "grad_norm": 1.40625, + "learning_rate": 0.00015949981931064714, + "loss": 4.9418, + "mean_token_accuracy": 0.23557900339365007, + "num_tokens": 14797857.0, + "step": 8140 + }, + { + "entropy": 5.709754991531372, + "epoch": 6.997851310700472, + "grad_norm": 1.5234375, + "learning_rate": 0.0001592146125277714, + "loss": 4.9405, + "mean_token_accuracy": 0.23237190246582032, + "num_tokens": 14806271.0, + "step": 8145 + }, + { + "entropy": 5.701049168904622, + "epoch": 7.001718951439622, + "grad_norm": 1.203125, + "learning_rate": 0.00015892965857390278, + "loss": 5.0242, + "mean_token_accuracy": 0.22801572581132254, + "num_tokens": 14815568.0, + "step": 8150 + }, + { + "entropy": 5.726880693435669, + "epoch": 7.006016330038676, + "grad_norm": 1.3125, + "learning_rate": 0.00015864495807126704, + "loss": 4.9097, + "mean_token_accuracy": 0.24267207831144333, + "num_tokens": 14825140.0, + "step": 8155 + }, + { + "entropy": 5.735155391693115, + "epoch": 7.010313708637731, + "grad_norm": 1.25, + "learning_rate": 0.00015836051164153602, + "loss": 4.9041, + "mean_token_accuracy": 0.24150658994913102, + "num_tokens": 14834459.0, + "step": 8160 + }, + { + "entropy": 5.716802549362183, + "epoch": 7.014611087236785, + "grad_norm": 1.4296875, + "learning_rate": 0.00015807631990582733, + "loss": 4.8455, + "mean_token_accuracy": 0.24123812317848206, + "num_tokens": 14843632.0, + "step": 8165 + }, + { + "entropy": 5.745954322814941, + "epoch": 7.01890846583584, + "grad_norm": 1.296875, + "learning_rate": 0.00015779238348470192, + "loss": 4.8292, + "mean_token_accuracy": 0.24553413093090057, + "num_tokens": 14852626.0, + "step": 8170 + }, + { + "entropy": 5.627586793899536, + "epoch": 7.023205844434894, + "grad_norm": 1.453125, + "learning_rate": 0.00015750870299816345, + "loss": 4.7871, + "mean_token_accuracy": 0.2367524728178978, + "num_tokens": 14861571.0, + "step": 8175 + }, + { + "entropy": 5.648326206207275, + "epoch": 7.027503223033949, + "grad_norm": 1.34375, + "learning_rate": 0.00015722527906565672, + "loss": 4.772, + "mean_token_accuracy": 0.25098019242286684, + "num_tokens": 14870383.0, + "step": 8180 + }, + { + "entropy": 5.6729450702667235, + "epoch": 7.0318006016330035, + "grad_norm": 1.4921875, + "learning_rate": 0.00015694211230606647, + "loss": 4.8441, + "mean_token_accuracy": 0.2389305979013443, + "num_tokens": 14880212.0, + "step": 8185 + }, + { + "entropy": 5.6791423797607425, + "epoch": 7.036097980232058, + "grad_norm": 1.3359375, + "learning_rate": 0.00015665920333771564, + "loss": 4.8316, + "mean_token_accuracy": 0.24294765591621398, + "num_tokens": 14889347.0, + "step": 8190 + }, + { + "entropy": 5.663656330108642, + "epoch": 7.0403953588311134, + "grad_norm": 1.2890625, + "learning_rate": 0.00015637655277836427, + "loss": 4.8571, + "mean_token_accuracy": 0.23541874438524246, + "num_tokens": 14898553.0, + "step": 8195 + }, + { + "entropy": 5.682969284057617, + "epoch": 7.044692737430168, + "grad_norm": 1.3359375, + "learning_rate": 0.0001560941612452081, + "loss": 4.8544, + "mean_token_accuracy": 0.24519650787115096, + "num_tokens": 14907275.0, + "step": 8200 + }, + { + "entropy": 5.677180910110474, + "epoch": 7.0489901160292225, + "grad_norm": 1.4140625, + "learning_rate": 0.0001558120293548777, + "loss": 4.8605, + "mean_token_accuracy": 0.2467809095978737, + "num_tokens": 14916409.0, + "step": 8205 + }, + { + "entropy": 5.740977430343628, + "epoch": 7.053287494628277, + "grad_norm": 1.4296875, + "learning_rate": 0.00015553015772343614, + "loss": 4.9298, + "mean_token_accuracy": 0.22942662239074707, + "num_tokens": 14927144.0, + "step": 8210 + }, + { + "entropy": 5.629847240447998, + "epoch": 7.057584873227332, + "grad_norm": 1.5234375, + "learning_rate": 0.00015524854696637847, + "loss": 4.771, + "mean_token_accuracy": 0.24928097873926164, + "num_tokens": 14936310.0, + "step": 8215 + }, + { + "entropy": 5.629301357269287, + "epoch": 7.061882251826386, + "grad_norm": 1.25, + "learning_rate": 0.00015496719769862981, + "loss": 4.7825, + "mean_token_accuracy": 0.2499506175518036, + "num_tokens": 14945571.0, + "step": 8220 + }, + { + "entropy": 5.636851263046265, + "epoch": 7.066179630425441, + "grad_norm": 1.4453125, + "learning_rate": 0.00015468611053454478, + "loss": 4.7934, + "mean_token_accuracy": 0.248419189453125, + "num_tokens": 14954586.0, + "step": 8225 + }, + { + "entropy": 5.662562465667724, + "epoch": 7.070477009024495, + "grad_norm": 1.5625, + "learning_rate": 0.00015440528608790533, + "loss": 4.8692, + "mean_token_accuracy": 0.24275394678115844, + "num_tokens": 14963048.0, + "step": 8230 + }, + { + "entropy": 5.684344291687012, + "epoch": 7.07477438762355, + "grad_norm": 1.3671875, + "learning_rate": 0.0001541247249719197, + "loss": 4.8617, + "mean_token_accuracy": 0.2369182214140892, + "num_tokens": 14972158.0, + "step": 8235 + }, + { + "entropy": 5.675915765762329, + "epoch": 7.079071766222604, + "grad_norm": 1.3359375, + "learning_rate": 0.00015384442779922135, + "loss": 4.8169, + "mean_token_accuracy": 0.24358518421649933, + "num_tokens": 14980869.0, + "step": 8240 + }, + { + "entropy": 5.678097248077393, + "epoch": 7.083369144821659, + "grad_norm": 1.5625, + "learning_rate": 0.00015356439518186726, + "loss": 4.8092, + "mean_token_accuracy": 0.2419195994734764, + "num_tokens": 14989103.0, + "step": 8245 + }, + { + "entropy": 5.622421312332153, + "epoch": 7.0876665234207135, + "grad_norm": 1.15625, + "learning_rate": 0.00015328462773133672, + "loss": 4.8322, + "mean_token_accuracy": 0.25122032314538956, + "num_tokens": 14999378.0, + "step": 8250 + }, + { + "entropy": 5.662282085418701, + "epoch": 7.091963902019768, + "grad_norm": 1.3984375, + "learning_rate": 0.00015300512605852977, + "loss": 4.8865, + "mean_token_accuracy": 0.2370702803134918, + "num_tokens": 15007971.0, + "step": 8255 + }, + { + "entropy": 5.734650087356568, + "epoch": 7.0962612806188226, + "grad_norm": 1.265625, + "learning_rate": 0.0001527258907737668, + "loss": 4.9063, + "mean_token_accuracy": 0.23673705607652665, + "num_tokens": 15017537.0, + "step": 8260 + }, + { + "entropy": 5.62396354675293, + "epoch": 7.100558659217877, + "grad_norm": 1.5234375, + "learning_rate": 0.00015244692248678586, + "loss": 4.7927, + "mean_token_accuracy": 0.25119365751743317, + "num_tokens": 15025684.0, + "step": 8265 + }, + { + "entropy": 5.6647412300109865, + "epoch": 7.104856037816932, + "grad_norm": 1.484375, + "learning_rate": 0.0001521682218067421, + "loss": 4.826, + "mean_token_accuracy": 0.24565030932426452, + "num_tokens": 15034753.0, + "step": 8270 + }, + { + "entropy": 5.6979693412780765, + "epoch": 7.109153416415986, + "grad_norm": 1.3359375, + "learning_rate": 0.00015188978934220642, + "loss": 4.8555, + "mean_token_accuracy": 0.24527978003025055, + "num_tokens": 15044685.0, + "step": 8275 + }, + { + "entropy": 5.721617269515991, + "epoch": 7.113450795015041, + "grad_norm": 1.2421875, + "learning_rate": 0.0001516116257011641, + "loss": 4.9024, + "mean_token_accuracy": 0.2421650305390358, + "num_tokens": 15054853.0, + "step": 8280 + }, + { + "entropy": 5.668715095520019, + "epoch": 7.117748173614095, + "grad_norm": 1.1953125, + "learning_rate": 0.0001513337314910134, + "loss": 4.8429, + "mean_token_accuracy": 0.2332398548722267, + "num_tokens": 15065244.0, + "step": 8285 + }, + { + "entropy": 5.626372385025024, + "epoch": 7.12204555221315, + "grad_norm": 1.40625, + "learning_rate": 0.00015105610731856416, + "loss": 4.7841, + "mean_token_accuracy": 0.2513157859444618, + "num_tokens": 15074046.0, + "step": 8290 + }, + { + "entropy": 5.66493592262268, + "epoch": 7.126342930812204, + "grad_norm": 1.3984375, + "learning_rate": 0.00015077875379003653, + "loss": 4.8261, + "mean_token_accuracy": 0.245232991874218, + "num_tokens": 15083518.0, + "step": 8295 + }, + { + "entropy": 5.6777307987213135, + "epoch": 7.130640309411259, + "grad_norm": 1.265625, + "learning_rate": 0.00015050167151105988, + "loss": 4.8787, + "mean_token_accuracy": 0.2450040340423584, + "num_tokens": 15092512.0, + "step": 8300 + }, + { + "entropy": 5.720175552368164, + "epoch": 7.1349376880103135, + "grad_norm": 1.5625, + "learning_rate": 0.000150224861086671, + "loss": 4.8636, + "mean_token_accuracy": 0.24103742837905884, + "num_tokens": 15101722.0, + "step": 8305 + }, + { + "entropy": 5.65927529335022, + "epoch": 7.139235066609368, + "grad_norm": 1.3515625, + "learning_rate": 0.00014994832312131332, + "loss": 4.8115, + "mean_token_accuracy": 0.2433381572365761, + "num_tokens": 15110114.0, + "step": 8310 + }, + { + "entropy": 5.647584772109985, + "epoch": 7.143532445208423, + "grad_norm": 1.40625, + "learning_rate": 0.00014967205821883532, + "loss": 4.8898, + "mean_token_accuracy": 0.24128275364637375, + "num_tokens": 15119461.0, + "step": 8315 + }, + { + "entropy": 5.7003998279571535, + "epoch": 7.147829823807477, + "grad_norm": 1.5078125, + "learning_rate": 0.000149396066982489, + "loss": 4.8247, + "mean_token_accuracy": 0.24309603422880172, + "num_tokens": 15127518.0, + "step": 8320 + }, + { + "entropy": 5.69748592376709, + "epoch": 7.152127202406532, + "grad_norm": 1.3203125, + "learning_rate": 0.00014912035001492897, + "loss": 4.9025, + "mean_token_accuracy": 0.23496294468641282, + "num_tokens": 15136741.0, + "step": 8325 + }, + { + "entropy": 5.679088973999024, + "epoch": 7.156424581005586, + "grad_norm": 1.4609375, + "learning_rate": 0.00014884490791821058, + "loss": 4.8403, + "mean_token_accuracy": 0.24242965281009674, + "num_tokens": 15145193.0, + "step": 8330 + }, + { + "entropy": 5.643162488937378, + "epoch": 7.160721959604641, + "grad_norm": 1.3515625, + "learning_rate": 0.00014856974129378981, + "loss": 4.837, + "mean_token_accuracy": 0.24121178388595582, + "num_tokens": 15154117.0, + "step": 8335 + }, + { + "entropy": 5.69333701133728, + "epoch": 7.165019338203695, + "grad_norm": 1.296875, + "learning_rate": 0.0001482948507425203, + "loss": 4.859, + "mean_token_accuracy": 0.24258929044008254, + "num_tokens": 15163221.0, + "step": 8340 + }, + { + "entropy": 5.709475135803222, + "epoch": 7.169316716802751, + "grad_norm": 1.28125, + "learning_rate": 0.00014802023686465314, + "loss": 4.9285, + "mean_token_accuracy": 0.22908981293439865, + "num_tokens": 15173234.0, + "step": 8345 + }, + { + "entropy": 5.639783477783203, + "epoch": 7.173614095401805, + "grad_norm": 1.390625, + "learning_rate": 0.00014774590025983523, + "loss": 4.8194, + "mean_token_accuracy": 0.24694596081972123, + "num_tokens": 15181436.0, + "step": 8350 + }, + { + "entropy": 5.632948637008667, + "epoch": 7.17791147400086, + "grad_norm": 1.5546875, + "learning_rate": 0.00014747184152710807, + "loss": 4.8521, + "mean_token_accuracy": 0.24572525024414063, + "num_tokens": 15191697.0, + "step": 8355 + }, + { + "entropy": 5.6552135944366455, + "epoch": 7.182208852599914, + "grad_norm": 1.359375, + "learning_rate": 0.00014719806126490658, + "loss": 4.8327, + "mean_token_accuracy": 0.2454862505197525, + "num_tokens": 15201563.0, + "step": 8360 + }, + { + "entropy": 5.664471912384033, + "epoch": 7.186506231198969, + "grad_norm": 1.4609375, + "learning_rate": 0.0001469245600710573, + "loss": 4.822, + "mean_token_accuracy": 0.24350446462631226, + "num_tokens": 15210886.0, + "step": 8365 + }, + { + "entropy": 5.667477607727051, + "epoch": 7.1908036097980235, + "grad_norm": 1.4765625, + "learning_rate": 0.00014665133854277742, + "loss": 4.8688, + "mean_token_accuracy": 0.23880793303251266, + "num_tokens": 15219254.0, + "step": 8370 + }, + { + "entropy": 5.644754886627197, + "epoch": 7.195100988397078, + "grad_norm": 1.359375, + "learning_rate": 0.0001463783972766737, + "loss": 4.8438, + "mean_token_accuracy": 0.24330057799816132, + "num_tokens": 15228117.0, + "step": 8375 + }, + { + "entropy": 5.608816766738892, + "epoch": 7.199398366996133, + "grad_norm": 1.4765625, + "learning_rate": 0.0001461057368687407, + "loss": 4.8249, + "mean_token_accuracy": 0.2522394210100174, + "num_tokens": 15236621.0, + "step": 8380 + }, + { + "entropy": 5.619053030014038, + "epoch": 7.203695745595187, + "grad_norm": 1.375, + "learning_rate": 0.00014583335791435971, + "loss": 4.7818, + "mean_token_accuracy": 0.24403955191373825, + "num_tokens": 15245487.0, + "step": 8385 + }, + { + "entropy": 5.628172588348389, + "epoch": 7.207993124194242, + "grad_norm": 1.3125, + "learning_rate": 0.00014556126100829774, + "loss": 4.8254, + "mean_token_accuracy": 0.24101845026016236, + "num_tokens": 15255321.0, + "step": 8390 + }, + { + "entropy": 5.609516525268555, + "epoch": 7.212290502793296, + "grad_norm": 1.34375, + "learning_rate": 0.00014528944674470546, + "loss": 4.754, + "mean_token_accuracy": 0.252737557888031, + "num_tokens": 15264788.0, + "step": 8395 + }, + { + "entropy": 5.669772291183472, + "epoch": 7.216587881392351, + "grad_norm": 1.421875, + "learning_rate": 0.0001450179157171166, + "loss": 4.8532, + "mean_token_accuracy": 0.23921219259500504, + "num_tokens": 15273448.0, + "step": 8400 + }, + { + "entropy": 5.704756450653076, + "epoch": 7.220885259991405, + "grad_norm": 1.453125, + "learning_rate": 0.00014474666851844632, + "loss": 4.9219, + "mean_token_accuracy": 0.23073083758354188, + "num_tokens": 15283071.0, + "step": 8405 + }, + { + "entropy": 5.641713428497314, + "epoch": 7.22518263859046, + "grad_norm": 1.4375, + "learning_rate": 0.00014447570574099028, + "loss": 4.7482, + "mean_token_accuracy": 0.25668143630027773, + "num_tokens": 15291537.0, + "step": 8410 + }, + { + "entropy": 5.706275081634521, + "epoch": 7.229480017189514, + "grad_norm": 1.28125, + "learning_rate": 0.00014420502797642283, + "loss": 4.8257, + "mean_token_accuracy": 0.2518530562520027, + "num_tokens": 15300531.0, + "step": 8415 + }, + { + "entropy": 5.643521165847778, + "epoch": 7.233777395788569, + "grad_norm": 1.46875, + "learning_rate": 0.000143934635815796, + "loss": 4.899, + "mean_token_accuracy": 0.23624274879693985, + "num_tokens": 15309820.0, + "step": 8420 + }, + { + "entropy": 5.626271390914917, + "epoch": 7.2380747743876235, + "grad_norm": 1.5234375, + "learning_rate": 0.0001436645298495381, + "loss": 4.8423, + "mean_token_accuracy": 0.24444258213043213, + "num_tokens": 15318604.0, + "step": 8425 + }, + { + "entropy": 5.643628692626953, + "epoch": 7.242372152986678, + "grad_norm": 1.34375, + "learning_rate": 0.00014339471066745262, + "loss": 4.8571, + "mean_token_accuracy": 0.2405830442905426, + "num_tokens": 15327737.0, + "step": 8430 + }, + { + "entropy": 5.664806270599366, + "epoch": 7.246669531585733, + "grad_norm": 1.46875, + "learning_rate": 0.000143125178858717, + "loss": 4.8992, + "mean_token_accuracy": 0.24197297692298889, + "num_tokens": 15336663.0, + "step": 8435 + }, + { + "entropy": 5.715575551986694, + "epoch": 7.250966910184787, + "grad_norm": 1.3359375, + "learning_rate": 0.00014285593501188083, + "loss": 4.9137, + "mean_token_accuracy": 0.23828656673431398, + "num_tokens": 15345278.0, + "step": 8440 + }, + { + "entropy": 5.6954974174499515, + "epoch": 7.255264288783842, + "grad_norm": 1.3359375, + "learning_rate": 0.00014258697971486492, + "loss": 4.8743, + "mean_token_accuracy": 0.2434326246380806, + "num_tokens": 15354230.0, + "step": 8445 + }, + { + "entropy": 5.684997081756592, + "epoch": 7.259561667382896, + "grad_norm": 1.40625, + "learning_rate": 0.00014231831355496045, + "loss": 4.8884, + "mean_token_accuracy": 0.24170466512441635, + "num_tokens": 15362838.0, + "step": 8450 + }, + { + "entropy": 5.619481086730957, + "epoch": 7.263859045981951, + "grad_norm": 1.2421875, + "learning_rate": 0.00014204993711882662, + "loss": 4.8517, + "mean_token_accuracy": 0.24466632157564164, + "num_tokens": 15372593.0, + "step": 8455 + }, + { + "entropy": 5.716213417053223, + "epoch": 7.268156424581005, + "grad_norm": 1.3671875, + "learning_rate": 0.0001417818509924906, + "loss": 4.9144, + "mean_token_accuracy": 0.24032662957906722, + "num_tokens": 15381945.0, + "step": 8460 + }, + { + "entropy": 5.632898616790771, + "epoch": 7.27245380318006, + "grad_norm": 1.2890625, + "learning_rate": 0.000141514055761345, + "loss": 4.8387, + "mean_token_accuracy": 0.24242759346961976, + "num_tokens": 15391487.0, + "step": 8465 + }, + { + "entropy": 5.6765156269073485, + "epoch": 7.276751181779114, + "grad_norm": 1.4453125, + "learning_rate": 0.00014124655201014786, + "loss": 4.7872, + "mean_token_accuracy": 0.24917674511671067, + "num_tokens": 15399891.0, + "step": 8470 + }, + { + "entropy": 5.660211992263794, + "epoch": 7.281048560378169, + "grad_norm": 1.3359375, + "learning_rate": 0.00014097934032302037, + "loss": 4.8029, + "mean_token_accuracy": 0.24828134030103682, + "num_tokens": 15408693.0, + "step": 8475 + }, + { + "entropy": 5.642815494537354, + "epoch": 7.2853459389772235, + "grad_norm": 1.390625, + "learning_rate": 0.00014071242128344593, + "loss": 4.8855, + "mean_token_accuracy": 0.2412761390209198, + "num_tokens": 15417779.0, + "step": 8480 + }, + { + "entropy": 5.628547477722168, + "epoch": 7.289643317576278, + "grad_norm": 1.4921875, + "learning_rate": 0.0001404457954742691, + "loss": 4.7916, + "mean_token_accuracy": 0.25722613334655764, + "num_tokens": 15425826.0, + "step": 8485 + }, + { + "entropy": 5.645930242538452, + "epoch": 7.2939406961753335, + "grad_norm": 1.609375, + "learning_rate": 0.00014017946347769423, + "loss": 4.8787, + "mean_token_accuracy": 0.24464091658592224, + "num_tokens": 15435811.0, + "step": 8490 + }, + { + "entropy": 5.608988952636719, + "epoch": 7.298238074774388, + "grad_norm": 1.4609375, + "learning_rate": 0.00013991342587528377, + "loss": 4.7581, + "mean_token_accuracy": 0.25116355568170545, + "num_tokens": 15444949.0, + "step": 8495 + }, + { + "entropy": 5.619772720336914, + "epoch": 7.302535453373443, + "grad_norm": 1.3828125, + "learning_rate": 0.00013964768324795752, + "loss": 4.7767, + "mean_token_accuracy": 0.2535047471523285, + "num_tokens": 15453398.0, + "step": 8500 + }, + { + "epoch": 7.302535453373443, + "eval_entropy": 5.460987055623853, + "eval_loss": 5.883355140686035, + "eval_mean_token_accuracy": 0.18381839069361622, + "eval_num_tokens": 15453398.0, + "eval_runtime": 2.0476, + "eval_samples_per_second": 1733.217, + "eval_steps_per_second": 216.835, + "step": 8500 + }, + { + "entropy": 5.6177013397216795, + "epoch": 7.306832831972497, + "grad_norm": 1.2734375, + "learning_rate": 0.00013938223617599124, + "loss": 4.8873, + "mean_token_accuracy": 0.23690903782844544, + "num_tokens": 15462785.0, + "step": 8505 + }, + { + "entropy": 5.6555908679962155, + "epoch": 7.311130210571552, + "grad_norm": 1.5, + "learning_rate": 0.00013911708523901514, + "loss": 4.8803, + "mean_token_accuracy": 0.2451162204146385, + "num_tokens": 15471718.0, + "step": 8510 + }, + { + "entropy": 5.664057064056396, + "epoch": 7.315427589170606, + "grad_norm": 1.3828125, + "learning_rate": 0.00013885223101601303, + "loss": 4.8366, + "mean_token_accuracy": 0.24271080642938614, + "num_tokens": 15480204.0, + "step": 8515 + }, + { + "entropy": 5.639170408248901, + "epoch": 7.319724967769661, + "grad_norm": 1.375, + "learning_rate": 0.00013858767408532051, + "loss": 4.7954, + "mean_token_accuracy": 0.24772258400917052, + "num_tokens": 15489388.0, + "step": 8520 + }, + { + "entropy": 5.640066719055175, + "epoch": 7.324022346368715, + "grad_norm": 1.3984375, + "learning_rate": 0.00013832341502462432, + "loss": 4.8193, + "mean_token_accuracy": 0.24168650656938553, + "num_tokens": 15498028.0, + "step": 8525 + }, + { + "entropy": 5.679781198501587, + "epoch": 7.32831972496777, + "grad_norm": 1.578125, + "learning_rate": 0.00013805945441096057, + "loss": 4.8481, + "mean_token_accuracy": 0.2431727021932602, + "num_tokens": 15506382.0, + "step": 8530 + }, + { + "entropy": 5.678671789169312, + "epoch": 7.332617103566824, + "grad_norm": 1.4765625, + "learning_rate": 0.00013779579282071364, + "loss": 4.8543, + "mean_token_accuracy": 0.2428709551692009, + "num_tokens": 15515271.0, + "step": 8535 + }, + { + "entropy": 5.62637357711792, + "epoch": 7.336914482165879, + "grad_norm": 1.359375, + "learning_rate": 0.00013753243082961512, + "loss": 4.7953, + "mean_token_accuracy": 0.25061759501695635, + "num_tokens": 15524396.0, + "step": 8540 + }, + { + "entropy": 5.611609268188476, + "epoch": 7.3412118607649335, + "grad_norm": 1.453125, + "learning_rate": 0.00013726936901274246, + "loss": 4.7813, + "mean_token_accuracy": 0.24898689538240432, + "num_tokens": 15532829.0, + "step": 8545 + }, + { + "entropy": 5.680109977722168, + "epoch": 7.345509239363988, + "grad_norm": 1.2890625, + "learning_rate": 0.0001370066079445174, + "loss": 4.8978, + "mean_token_accuracy": 0.23813850730657576, + "num_tokens": 15541726.0, + "step": 8550 + }, + { + "entropy": 5.71290807723999, + "epoch": 7.349806617963043, + "grad_norm": 1.3359375, + "learning_rate": 0.00013674414819870502, + "loss": 4.9929, + "mean_token_accuracy": 0.22865635603666307, + "num_tokens": 15551539.0, + "step": 8555 + }, + { + "entropy": 5.651469898223877, + "epoch": 7.354103996562097, + "grad_norm": 1.5390625, + "learning_rate": 0.00013648199034841264, + "loss": 4.8606, + "mean_token_accuracy": 0.23857547491788864, + "num_tokens": 15560147.0, + "step": 8560 + }, + { + "entropy": 5.6347579002380375, + "epoch": 7.358401375161152, + "grad_norm": 1.46875, + "learning_rate": 0.0001362201349660882, + "loss": 4.8195, + "mean_token_accuracy": 0.2504441112279892, + "num_tokens": 15568983.0, + "step": 8565 + }, + { + "entropy": 5.603701829910278, + "epoch": 7.362698753760206, + "grad_norm": 1.421875, + "learning_rate": 0.0001359585826235192, + "loss": 4.8184, + "mean_token_accuracy": 0.2471785604953766, + "num_tokens": 15578065.0, + "step": 8570 + }, + { + "entropy": 5.699456787109375, + "epoch": 7.366996132359261, + "grad_norm": 1.53125, + "learning_rate": 0.00013569733389183126, + "loss": 4.9112, + "mean_token_accuracy": 0.24275968074798585, + "num_tokens": 15587181.0, + "step": 8575 + }, + { + "entropy": 5.650845050811768, + "epoch": 7.371293510958315, + "grad_norm": 1.3359375, + "learning_rate": 0.00013543638934148736, + "loss": 4.8473, + "mean_token_accuracy": 0.24374731332063676, + "num_tokens": 15596602.0, + "step": 8580 + }, + { + "entropy": 5.729697942733765, + "epoch": 7.37559088955737, + "grad_norm": 1.484375, + "learning_rate": 0.000135175749542286, + "loss": 4.8999, + "mean_token_accuracy": 0.22945987284183503, + "num_tokens": 15605857.0, + "step": 8585 + }, + { + "entropy": 5.59364161491394, + "epoch": 7.379888268156424, + "grad_norm": 1.3046875, + "learning_rate": 0.0001349154150633604, + "loss": 4.7965, + "mean_token_accuracy": 0.2551902085542679, + "num_tokens": 15615320.0, + "step": 8590 + }, + { + "entropy": 5.695501613616943, + "epoch": 7.384185646755479, + "grad_norm": 1.3359375, + "learning_rate": 0.000134655386473177, + "loss": 4.9361, + "mean_token_accuracy": 0.22892682403326034, + "num_tokens": 15624193.0, + "step": 8595 + }, + { + "entropy": 5.583432912826538, + "epoch": 7.3884830253545335, + "grad_norm": 1.5390625, + "learning_rate": 0.00013439566433953427, + "loss": 4.795, + "mean_token_accuracy": 0.25091494172811507, + "num_tokens": 15632924.0, + "step": 8600 + }, + { + "entropy": 5.629459381103516, + "epoch": 7.392780403953588, + "grad_norm": 1.421875, + "learning_rate": 0.0001341362492295616, + "loss": 4.8, + "mean_token_accuracy": 0.25384778827428817, + "num_tokens": 15642201.0, + "step": 8605 + }, + { + "entropy": 5.688088846206665, + "epoch": 7.397077782552643, + "grad_norm": 1.578125, + "learning_rate": 0.00013387714170971776, + "loss": 4.8435, + "mean_token_accuracy": 0.2389387384057045, + "num_tokens": 15651608.0, + "step": 8610 + }, + { + "entropy": 5.7352265357971195, + "epoch": 7.401375161151697, + "grad_norm": 1.3203125, + "learning_rate": 0.00013361834234579012, + "loss": 4.9476, + "mean_token_accuracy": 0.23288207799196242, + "num_tokens": 15661768.0, + "step": 8615 + }, + { + "entropy": 5.595257806777954, + "epoch": 7.405672539750752, + "grad_norm": 1.453125, + "learning_rate": 0.0001333598517028931, + "loss": 4.8252, + "mean_token_accuracy": 0.2436438739299774, + "num_tokens": 15670270.0, + "step": 8620 + }, + { + "entropy": 5.629942989349365, + "epoch": 7.409969918349806, + "grad_norm": 1.3671875, + "learning_rate": 0.00013310167034546688, + "loss": 4.8258, + "mean_token_accuracy": 0.24356841742992402, + "num_tokens": 15679587.0, + "step": 8625 + }, + { + "entropy": 5.671183729171753, + "epoch": 7.414267296948861, + "grad_norm": 1.46875, + "learning_rate": 0.0001328437988372763, + "loss": 4.8821, + "mean_token_accuracy": 0.23919072449207307, + "num_tokens": 15688838.0, + "step": 8630 + }, + { + "entropy": 5.709632778167725, + "epoch": 7.418564675547916, + "grad_norm": 1.4375, + "learning_rate": 0.00013258623774140967, + "loss": 4.8513, + "mean_token_accuracy": 0.24157456457614898, + "num_tokens": 15697744.0, + "step": 8635 + }, + { + "entropy": 5.636171436309814, + "epoch": 7.422862054146971, + "grad_norm": 1.5, + "learning_rate": 0.00013232898762027766, + "loss": 4.8212, + "mean_token_accuracy": 0.24941018223762512, + "num_tokens": 15707643.0, + "step": 8640 + }, + { + "entropy": 5.681140041351318, + "epoch": 7.427159432746025, + "grad_norm": 1.3671875, + "learning_rate": 0.00013207204903561154, + "loss": 4.9013, + "mean_token_accuracy": 0.24012650102376937, + "num_tokens": 15717568.0, + "step": 8645 + }, + { + "entropy": 5.616391515731811, + "epoch": 7.43145681134508, + "grad_norm": 1.296875, + "learning_rate": 0.00013181542254846247, + "loss": 4.7643, + "mean_token_accuracy": 0.2518541321158409, + "num_tokens": 15726467.0, + "step": 8650 + }, + { + "entropy": 5.694960689544677, + "epoch": 7.435754189944134, + "grad_norm": 1.4609375, + "learning_rate": 0.0001315591087192002, + "loss": 4.8946, + "mean_token_accuracy": 0.23947711288928986, + "num_tokens": 15736533.0, + "step": 8655 + }, + { + "entropy": 5.596284627914429, + "epoch": 7.440051568543189, + "grad_norm": 1.3203125, + "learning_rate": 0.00013130310810751162, + "loss": 4.8082, + "mean_token_accuracy": 0.24334124028682708, + "num_tokens": 15745853.0, + "step": 8660 + }, + { + "entropy": 5.697447776794434, + "epoch": 7.4443489471422435, + "grad_norm": 1.453125, + "learning_rate": 0.00013104742127239983, + "loss": 4.9422, + "mean_token_accuracy": 0.23501614928245546, + "num_tokens": 15755534.0, + "step": 8665 + }, + { + "entropy": 5.714992809295654, + "epoch": 7.448646325741298, + "grad_norm": 1.2109375, + "learning_rate": 0.0001307920487721826, + "loss": 4.9252, + "mean_token_accuracy": 0.232830011844635, + "num_tokens": 15766182.0, + "step": 8670 + }, + { + "entropy": 5.657570457458496, + "epoch": 7.452943704340353, + "grad_norm": 1.4609375, + "learning_rate": 0.00013053699116449144, + "loss": 4.8346, + "mean_token_accuracy": 0.2376754343509674, + "num_tokens": 15775454.0, + "step": 8675 + }, + { + "entropy": 5.817200994491577, + "epoch": 7.457241082939407, + "grad_norm": 1.296875, + "learning_rate": 0.00013028224900627026, + "loss": 4.947, + "mean_token_accuracy": 0.22718140333890915, + "num_tokens": 15784768.0, + "step": 8680 + }, + { + "entropy": 5.735804557800293, + "epoch": 7.461538461538462, + "grad_norm": 1.1015625, + "learning_rate": 0.00013002782285377395, + "loss": 4.8814, + "mean_token_accuracy": 0.24075218588113784, + "num_tokens": 15794255.0, + "step": 8685 + }, + { + "entropy": 5.6803868293762205, + "epoch": 7.465835840137516, + "grad_norm": 1.5234375, + "learning_rate": 0.0001297737132625677, + "loss": 4.9114, + "mean_token_accuracy": 0.23759287297725679, + "num_tokens": 15803722.0, + "step": 8690 + }, + { + "entropy": 5.709731101989746, + "epoch": 7.470133218736571, + "grad_norm": 1.6171875, + "learning_rate": 0.00012951992078752528, + "loss": 4.8673, + "mean_token_accuracy": 0.2400722473859787, + "num_tokens": 15811819.0, + "step": 8695 + }, + { + "entropy": 5.6642265796661375, + "epoch": 7.474430597335625, + "grad_norm": 1.3203125, + "learning_rate": 0.00012926644598282798, + "loss": 4.883, + "mean_token_accuracy": 0.23496807366609573, + "num_tokens": 15821446.0, + "step": 8700 + }, + { + "entropy": 5.6967566967010494, + "epoch": 7.47872797593468, + "grad_norm": 1.3046875, + "learning_rate": 0.0001290132894019634, + "loss": 4.9032, + "mean_token_accuracy": 0.24297993183135985, + "num_tokens": 15830585.0, + "step": 8705 + }, + { + "entropy": 5.698636674880982, + "epoch": 7.483025354533734, + "grad_norm": 1.375, + "learning_rate": 0.00012876045159772442, + "loss": 4.8693, + "mean_token_accuracy": 0.24373389929533004, + "num_tokens": 15838872.0, + "step": 8710 + }, + { + "entropy": 5.6971441268920895, + "epoch": 7.487322733132789, + "grad_norm": 1.4765625, + "learning_rate": 0.00012850793312220766, + "loss": 4.8712, + "mean_token_accuracy": 0.23879421204328538, + "num_tokens": 15847561.0, + "step": 8715 + }, + { + "entropy": 5.61161732673645, + "epoch": 7.4916201117318435, + "grad_norm": 1.2734375, + "learning_rate": 0.00012825573452681266, + "loss": 4.8183, + "mean_token_accuracy": 0.25333032459020616, + "num_tokens": 15856405.0, + "step": 8720 + }, + { + "entropy": 5.675054311752319, + "epoch": 7.495917490330898, + "grad_norm": 1.4921875, + "learning_rate": 0.00012800385636224017, + "loss": 4.8783, + "mean_token_accuracy": 0.2412225589156151, + "num_tokens": 15865856.0, + "step": 8725 + }, + { + "entropy": 5.697736120223999, + "epoch": 7.500214868929953, + "grad_norm": 1.484375, + "learning_rate": 0.00012775229917849162, + "loss": 4.8061, + "mean_token_accuracy": 0.24927690327167512, + "num_tokens": 15873605.0, + "step": 8730 + }, + { + "entropy": 5.670104217529297, + "epoch": 7.504512247529007, + "grad_norm": 1.34375, + "learning_rate": 0.00012750106352486728, + "loss": 4.8144, + "mean_token_accuracy": 0.251702156662941, + "num_tokens": 15883123.0, + "step": 8735 + }, + { + "entropy": 5.622718381881714, + "epoch": 7.508809626128062, + "grad_norm": 1.25, + "learning_rate": 0.00012725014994996534, + "loss": 4.8654, + "mean_token_accuracy": 0.24962699562311172, + "num_tokens": 15892713.0, + "step": 8740 + }, + { + "entropy": 5.716191387176513, + "epoch": 7.513107004727116, + "grad_norm": 1.328125, + "learning_rate": 0.00012699955900168075, + "loss": 4.8486, + "mean_token_accuracy": 0.2432439148426056, + "num_tokens": 15902913.0, + "step": 8745 + }, + { + "entropy": 5.672324466705322, + "epoch": 7.517404383326171, + "grad_norm": 1.375, + "learning_rate": 0.00012674929122720414, + "loss": 4.9054, + "mean_token_accuracy": 0.23004304766654968, + "num_tokens": 15912721.0, + "step": 8750 + }, + { + "entropy": 5.594343137741089, + "epoch": 7.521701761925225, + "grad_norm": 1.3125, + "learning_rate": 0.0001264993471730202, + "loss": 4.7899, + "mean_token_accuracy": 0.2503419265151024, + "num_tokens": 15921520.0, + "step": 8755 + }, + { + "entropy": 5.690563106536866, + "epoch": 7.52599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00012624972738490675, + "loss": 4.9229, + "mean_token_accuracy": 0.23388323038816453, + "num_tokens": 15930753.0, + "step": 8760 + }, + { + "entropy": 5.751315879821777, + "epoch": 7.530296519123334, + "grad_norm": 1.328125, + "learning_rate": 0.00012600043240793368, + "loss": 4.8837, + "mean_token_accuracy": 0.23834782242774963, + "num_tokens": 15939957.0, + "step": 8765 + }, + { + "entropy": 5.6837897300720215, + "epoch": 7.534593897722389, + "grad_norm": 1.421875, + "learning_rate": 0.00012575146278646175, + "loss": 4.815, + "mean_token_accuracy": 0.2443731501698494, + "num_tokens": 15949555.0, + "step": 8770 + }, + { + "entropy": 5.626264572143555, + "epoch": 7.5388912763214435, + "grad_norm": 1.3359375, + "learning_rate": 0.00012550281906414097, + "loss": 4.8277, + "mean_token_accuracy": 0.240455362200737, + "num_tokens": 15958395.0, + "step": 8775 + }, + { + "entropy": 5.663618469238282, + "epoch": 7.543188654920499, + "grad_norm": 1.328125, + "learning_rate": 0.00012525450178390972, + "loss": 4.8681, + "mean_token_accuracy": 0.2480662539601326, + "num_tokens": 15967522.0, + "step": 8780 + }, + { + "entropy": 5.694502210617065, + "epoch": 7.547486033519553, + "grad_norm": 1.4375, + "learning_rate": 0.0001250065114879939, + "loss": 4.878, + "mean_token_accuracy": 0.23790884763002396, + "num_tokens": 15976311.0, + "step": 8785 + }, + { + "entropy": 5.618346405029297, + "epoch": 7.551783412118608, + "grad_norm": 1.375, + "learning_rate": 0.00012475884871790505, + "loss": 4.7873, + "mean_token_accuracy": 0.25124809592962266, + "num_tokens": 15985202.0, + "step": 8790 + }, + { + "entropy": 5.733155822753906, + "epoch": 7.556080790717663, + "grad_norm": 1.390625, + "learning_rate": 0.00012451151401443982, + "loss": 4.9326, + "mean_token_accuracy": 0.2288578063249588, + "num_tokens": 15995043.0, + "step": 8795 + }, + { + "entropy": 5.590882110595703, + "epoch": 7.560378169316717, + "grad_norm": 1.3984375, + "learning_rate": 0.00012426450791767815, + "loss": 4.773, + "mean_token_accuracy": 0.2554294764995575, + "num_tokens": 16004355.0, + "step": 8800 + }, + { + "entropy": 5.66195330619812, + "epoch": 7.564675547915772, + "grad_norm": 1.46875, + "learning_rate": 0.00012401783096698283, + "loss": 4.7098, + "mean_token_accuracy": 0.2548373222351074, + "num_tokens": 16013069.0, + "step": 8805 + }, + { + "entropy": 5.664208126068115, + "epoch": 7.568972926514826, + "grad_norm": 1.2890625, + "learning_rate": 0.00012377148370099764, + "loss": 4.882, + "mean_token_accuracy": 0.23631102591753006, + "num_tokens": 16023757.0, + "step": 8810 + }, + { + "entropy": 5.6740035057067875, + "epoch": 7.573270305113881, + "grad_norm": 1.390625, + "learning_rate": 0.00012352546665764642, + "loss": 4.8746, + "mean_token_accuracy": 0.23626330494880676, + "num_tokens": 16032550.0, + "step": 8815 + }, + { + "entropy": 5.582717180252075, + "epoch": 7.577567683712935, + "grad_norm": 1.3125, + "learning_rate": 0.00012327978037413219, + "loss": 4.7658, + "mean_token_accuracy": 0.25544307976961134, + "num_tokens": 16041580.0, + "step": 8820 + }, + { + "entropy": 5.654942321777344, + "epoch": 7.58186506231199, + "grad_norm": 1.5078125, + "learning_rate": 0.00012303442538693564, + "loss": 4.8642, + "mean_token_accuracy": 0.245210263133049, + "num_tokens": 16049845.0, + "step": 8825 + }, + { + "entropy": 5.606918573379517, + "epoch": 7.586162440911044, + "grad_norm": 1.4765625, + "learning_rate": 0.00012278940223181393, + "loss": 4.7706, + "mean_token_accuracy": 0.239949569106102, + "num_tokens": 16059703.0, + "step": 8830 + }, + { + "entropy": 5.623773241043091, + "epoch": 7.590459819510099, + "grad_norm": 1.3671875, + "learning_rate": 0.00012254471144379964, + "loss": 4.7411, + "mean_token_accuracy": 0.2577579036355019, + "num_tokens": 16068416.0, + "step": 8835 + }, + { + "entropy": 5.654675531387329, + "epoch": 7.5947571981091535, + "grad_norm": 1.3359375, + "learning_rate": 0.00012230035355719968, + "loss": 4.9084, + "mean_token_accuracy": 0.23492099046707154, + "num_tokens": 16078067.0, + "step": 8840 + }, + { + "entropy": 5.67131872177124, + "epoch": 7.599054576708208, + "grad_norm": 1.375, + "learning_rate": 0.0001220563291055941, + "loss": 4.8605, + "mean_token_accuracy": 0.24588163793087006, + "num_tokens": 16086591.0, + "step": 8845 + }, + { + "entropy": 5.68556776046753, + "epoch": 7.603351955307263, + "grad_norm": 1.390625, + "learning_rate": 0.0001218126386218347, + "loss": 4.8508, + "mean_token_accuracy": 0.245563143491745, + "num_tokens": 16096138.0, + "step": 8850 + }, + { + "entropy": 5.607348871231079, + "epoch": 7.607649333906317, + "grad_norm": 1.484375, + "learning_rate": 0.00012156928263804403, + "loss": 4.7926, + "mean_token_accuracy": 0.24644255489110947, + "num_tokens": 16105182.0, + "step": 8855 + }, + { + "entropy": 5.667599391937256, + "epoch": 7.611946712505372, + "grad_norm": 1.546875, + "learning_rate": 0.0001213262616856144, + "loss": 4.9127, + "mean_token_accuracy": 0.23956708014011383, + "num_tokens": 16113940.0, + "step": 8860 + }, + { + "entropy": 5.672130346298218, + "epoch": 7.616244091104426, + "grad_norm": 1.546875, + "learning_rate": 0.00012108357629520635, + "loss": 4.8201, + "mean_token_accuracy": 0.24776309728622437, + "num_tokens": 16123036.0, + "step": 8865 + }, + { + "entropy": 5.661095905303955, + "epoch": 7.620541469703481, + "grad_norm": 1.4296875, + "learning_rate": 0.00012084122699674785, + "loss": 4.8167, + "mean_token_accuracy": 0.24714952260255812, + "num_tokens": 16131057.0, + "step": 8870 + }, + { + "entropy": 5.651075649261474, + "epoch": 7.624838848302535, + "grad_norm": 1.515625, + "learning_rate": 0.00012059921431943278, + "loss": 4.8634, + "mean_token_accuracy": 0.23851459324359894, + "num_tokens": 16140259.0, + "step": 8875 + }, + { + "entropy": 5.7019164085388185, + "epoch": 7.62913622690159, + "grad_norm": 1.515625, + "learning_rate": 0.00012035753879172026, + "loss": 5.0453, + "mean_token_accuracy": 0.22252508252859116, + "num_tokens": 16149585.0, + "step": 8880 + }, + { + "entropy": 5.608267688751221, + "epoch": 7.633433605500644, + "grad_norm": 1.5078125, + "learning_rate": 0.00012011620094133296, + "loss": 4.7009, + "mean_token_accuracy": 0.25520451068878175, + "num_tokens": 16157656.0, + "step": 8885 + }, + { + "entropy": 5.595222854614258, + "epoch": 7.637730984099699, + "grad_norm": 1.3515625, + "learning_rate": 0.00011987520129525622, + "loss": 4.8398, + "mean_token_accuracy": 0.24301209151744843, + "num_tokens": 16166900.0, + "step": 8890 + }, + { + "entropy": 5.651483631134033, + "epoch": 7.6420283626987535, + "grad_norm": 1.5546875, + "learning_rate": 0.000119634540379737, + "loss": 4.8716, + "mean_token_accuracy": 0.24231579452753066, + "num_tokens": 16174859.0, + "step": 8895 + }, + { + "entropy": 5.677278900146485, + "epoch": 7.646325741297808, + "grad_norm": 1.4375, + "learning_rate": 0.00011939421872028262, + "loss": 4.8536, + "mean_token_accuracy": 0.24620164632797242, + "num_tokens": 16183660.0, + "step": 8900 + }, + { + "entropy": 5.58764533996582, + "epoch": 7.650623119896863, + "grad_norm": 1.3984375, + "learning_rate": 0.00011915423684165948, + "loss": 4.8054, + "mean_token_accuracy": 0.24301510602235793, + "num_tokens": 16192344.0, + "step": 8905 + }, + { + "entropy": 5.685575675964356, + "epoch": 7.654920498495917, + "grad_norm": 1.2890625, + "learning_rate": 0.00011891459526789198, + "loss": 4.8872, + "mean_token_accuracy": 0.2380649194121361, + "num_tokens": 16202060.0, + "step": 8910 + }, + { + "entropy": 5.705985689163208, + "epoch": 7.659217877094972, + "grad_norm": 1.328125, + "learning_rate": 0.0001186752945222616, + "loss": 4.8688, + "mean_token_accuracy": 0.23804006576538086, + "num_tokens": 16211297.0, + "step": 8915 + }, + { + "entropy": 5.679658222198486, + "epoch": 7.663515255694026, + "grad_norm": 1.2890625, + "learning_rate": 0.00011843633512730562, + "loss": 4.815, + "mean_token_accuracy": 0.2446437507867813, + "num_tokens": 16219812.0, + "step": 8920 + }, + { + "entropy": 5.651452541351318, + "epoch": 7.667812634293082, + "grad_norm": 1.375, + "learning_rate": 0.00011819771760481576, + "loss": 4.8388, + "mean_token_accuracy": 0.25003154426813123, + "num_tokens": 16229197.0, + "step": 8925 + }, + { + "entropy": 5.590824747085572, + "epoch": 7.672110012892135, + "grad_norm": 1.4375, + "learning_rate": 0.00011795944247583725, + "loss": 4.7635, + "mean_token_accuracy": 0.2490478202700615, + "num_tokens": 16238154.0, + "step": 8930 + }, + { + "entropy": 5.615209436416626, + "epoch": 7.676407391491191, + "grad_norm": 1.296875, + "learning_rate": 0.00011772151026066789, + "loss": 4.8197, + "mean_token_accuracy": 0.2377667546272278, + "num_tokens": 16247206.0, + "step": 8935 + }, + { + "entropy": 5.686316299438476, + "epoch": 7.680704770090245, + "grad_norm": 1.34375, + "learning_rate": 0.00011748392147885642, + "loss": 4.9245, + "mean_token_accuracy": 0.23257190883159637, + "num_tokens": 16256571.0, + "step": 8940 + }, + { + "entropy": 5.669029426574707, + "epoch": 7.6850021486893, + "grad_norm": 1.6328125, + "learning_rate": 0.00011724667664920177, + "loss": 4.8675, + "mean_token_accuracy": 0.23874716609716415, + "num_tokens": 16265429.0, + "step": 8945 + }, + { + "entropy": 5.712026929855346, + "epoch": 7.689299527288354, + "grad_norm": 1.46875, + "learning_rate": 0.00011700977628975183, + "loss": 4.9595, + "mean_token_accuracy": 0.22859783619642257, + "num_tokens": 16273804.0, + "step": 8950 + }, + { + "entropy": 5.69069471359253, + "epoch": 7.693596905887409, + "grad_norm": 1.4609375, + "learning_rate": 0.00011677322091780243, + "loss": 4.8767, + "mean_token_accuracy": 0.2396107569336891, + "num_tokens": 16282894.0, + "step": 8955 + }, + { + "entropy": 5.6962803363800045, + "epoch": 7.6978942844864635, + "grad_norm": 1.40625, + "learning_rate": 0.0001165370110498958, + "loss": 4.911, + "mean_token_accuracy": 0.23751324117183686, + "num_tokens": 16291568.0, + "step": 8960 + }, + { + "entropy": 5.713715887069702, + "epoch": 7.702191663085518, + "grad_norm": 1.3671875, + "learning_rate": 0.00011630114720181989, + "loss": 4.9006, + "mean_token_accuracy": 0.23961835503578185, + "num_tokens": 16300650.0, + "step": 8965 + }, + { + "entropy": 5.633689308166504, + "epoch": 7.706489041684573, + "grad_norm": 1.421875, + "learning_rate": 0.00011606562988860711, + "loss": 4.8228, + "mean_token_accuracy": 0.24292599856853486, + "num_tokens": 16309712.0, + "step": 8970 + }, + { + "entropy": 5.640320634841919, + "epoch": 7.710786420283627, + "grad_norm": 1.28125, + "learning_rate": 0.0001158304596245332, + "loss": 4.8093, + "mean_token_accuracy": 0.24374091476202012, + "num_tokens": 16319440.0, + "step": 8975 + }, + { + "entropy": 5.608017110824585, + "epoch": 7.715083798882682, + "grad_norm": 1.34375, + "learning_rate": 0.00011559563692311595, + "loss": 4.8151, + "mean_token_accuracy": 0.24847222715616227, + "num_tokens": 16328752.0, + "step": 8980 + }, + { + "entropy": 5.644386625289917, + "epoch": 7.719381177481736, + "grad_norm": 1.34375, + "learning_rate": 0.00011536116229711422, + "loss": 4.7971, + "mean_token_accuracy": 0.25065541118383405, + "num_tokens": 16338045.0, + "step": 8985 + }, + { + "entropy": 5.696937465667725, + "epoch": 7.723678556080791, + "grad_norm": 1.3984375, + "learning_rate": 0.000115127036258527, + "loss": 4.874, + "mean_token_accuracy": 0.23981755524873732, + "num_tokens": 16347174.0, + "step": 8990 + }, + { + "entropy": 5.6324869155883786, + "epoch": 7.727975934679845, + "grad_norm": 1.4921875, + "learning_rate": 0.00011489325931859185, + "loss": 4.7414, + "mean_token_accuracy": 0.24950257539749146, + "num_tokens": 16355371.0, + "step": 8995 + }, + { + "entropy": 5.614347124099732, + "epoch": 7.7322733132789, + "grad_norm": 1.34375, + "learning_rate": 0.0001146598319877843, + "loss": 4.8049, + "mean_token_accuracy": 0.24828497618436812, + "num_tokens": 16363938.0, + "step": 9000 + }, + { + "epoch": 7.7322733132789, + "eval_entropy": 5.454324596637004, + "eval_loss": 5.879878997802734, + "eval_mean_token_accuracy": 0.1840149760078471, + "eval_num_tokens": 16363938.0, + "eval_runtime": 2.0495, + "eval_samples_per_second": 1731.616, + "eval_steps_per_second": 216.635, + "step": 9000 + }, + { + "entropy": 5.668048620223999, + "epoch": 7.736570691877954, + "grad_norm": 1.5390625, + "learning_rate": 0.00011442675477581621, + "loss": 4.8712, + "mean_token_accuracy": 0.24084932655096053, + "num_tokens": 16373110.0, + "step": 9005 + }, + { + "entropy": 5.663178205490112, + "epoch": 7.740868070477009, + "grad_norm": 1.3515625, + "learning_rate": 0.0001141940281916352, + "loss": 4.7987, + "mean_token_accuracy": 0.24338341653347015, + "num_tokens": 16381521.0, + "step": 9010 + }, + { + "entropy": 5.71226396560669, + "epoch": 7.7451654490760635, + "grad_norm": 1.359375, + "learning_rate": 0.00011396165274342304, + "loss": 4.9155, + "mean_token_accuracy": 0.23528602570295334, + "num_tokens": 16391322.0, + "step": 9015 + }, + { + "entropy": 5.630045700073242, + "epoch": 7.749462827675118, + "grad_norm": 1.3125, + "learning_rate": 0.00011372962893859471, + "loss": 4.8487, + "mean_token_accuracy": 0.2383380651473999, + "num_tokens": 16400653.0, + "step": 9020 + }, + { + "entropy": 5.633638191223144, + "epoch": 7.753760206274173, + "grad_norm": 1.40625, + "learning_rate": 0.00011349795728379759, + "loss": 4.8587, + "mean_token_accuracy": 0.23745760172605515, + "num_tokens": 16410133.0, + "step": 9025 + }, + { + "entropy": 5.684892416000366, + "epoch": 7.758057584873227, + "grad_norm": 1.4140625, + "learning_rate": 0.00011326663828491, + "loss": 4.9227, + "mean_token_accuracy": 0.23583627492189407, + "num_tokens": 16419302.0, + "step": 9030 + }, + { + "entropy": 5.65294246673584, + "epoch": 7.762354963472282, + "grad_norm": 1.546875, + "learning_rate": 0.00011303567244704015, + "loss": 4.8942, + "mean_token_accuracy": 0.24354798793792726, + "num_tokens": 16428020.0, + "step": 9035 + }, + { + "entropy": 5.688437175750733, + "epoch": 7.766652342071336, + "grad_norm": 1.359375, + "learning_rate": 0.00011280506027452502, + "loss": 4.9648, + "mean_token_accuracy": 0.22782256603240966, + "num_tokens": 16438033.0, + "step": 9040 + }, + { + "entropy": 5.707497072219849, + "epoch": 7.770949720670391, + "grad_norm": 1.5, + "learning_rate": 0.0001125748022709295, + "loss": 4.9044, + "mean_token_accuracy": 0.24439404755830765, + "num_tokens": 16447067.0, + "step": 9045 + }, + { + "entropy": 5.715335369110107, + "epoch": 7.775247099269445, + "grad_norm": 1.3515625, + "learning_rate": 0.00011234489893904509, + "loss": 4.9154, + "mean_token_accuracy": 0.23768466860055923, + "num_tokens": 16457146.0, + "step": 9050 + }, + { + "entropy": 5.631183815002442, + "epoch": 7.7795444778685, + "grad_norm": 1.359375, + "learning_rate": 0.00011211535078088869, + "loss": 4.7698, + "mean_token_accuracy": 0.25073523819446564, + "num_tokens": 16466428.0, + "step": 9055 + }, + { + "entropy": 5.619486904144287, + "epoch": 7.783841856467554, + "grad_norm": 1.4375, + "learning_rate": 0.00011188615829770171, + "loss": 4.8294, + "mean_token_accuracy": 0.2441105604171753, + "num_tokens": 16474198.0, + "step": 9060 + }, + { + "entropy": 5.650256633758545, + "epoch": 7.788139235066609, + "grad_norm": 1.484375, + "learning_rate": 0.00011165732198994905, + "loss": 4.8596, + "mean_token_accuracy": 0.245253886282444, + "num_tokens": 16483464.0, + "step": 9065 + }, + { + "entropy": 5.655068445205688, + "epoch": 7.792436613665664, + "grad_norm": 1.4609375, + "learning_rate": 0.00011142884235731756, + "loss": 4.8247, + "mean_token_accuracy": 0.24826207160949706, + "num_tokens": 16492619.0, + "step": 9070 + }, + { + "entropy": 5.704363393783569, + "epoch": 7.796733992264718, + "grad_norm": 1.5234375, + "learning_rate": 0.00011120071989871564, + "loss": 4.928, + "mean_token_accuracy": 0.24253664612770082, + "num_tokens": 16501690.0, + "step": 9075 + }, + { + "entropy": 5.587621402740479, + "epoch": 7.8010313708637735, + "grad_norm": 1.28125, + "learning_rate": 0.00011097295511227134, + "loss": 4.807, + "mean_token_accuracy": 0.24702800661325455, + "num_tokens": 16510158.0, + "step": 9080 + }, + { + "entropy": 5.640108871459961, + "epoch": 7.805328749462827, + "grad_norm": 1.40625, + "learning_rate": 0.0001107455484953321, + "loss": 4.8187, + "mean_token_accuracy": 0.24920191913843154, + "num_tokens": 16518722.0, + "step": 9085 + }, + { + "entropy": 5.6231927394866945, + "epoch": 7.809626128061883, + "grad_norm": 1.453125, + "learning_rate": 0.00011051850054446306, + "loss": 4.8428, + "mean_token_accuracy": 0.24272346943616868, + "num_tokens": 16527404.0, + "step": 9090 + }, + { + "entropy": 5.571829319000244, + "epoch": 7.813923506660937, + "grad_norm": 1.53125, + "learning_rate": 0.00011029181175544603, + "loss": 4.7711, + "mean_token_accuracy": 0.24813230186700821, + "num_tokens": 16536210.0, + "step": 9095 + }, + { + "entropy": 5.717549419403076, + "epoch": 7.818220885259992, + "grad_norm": 1.5390625, + "learning_rate": 0.00011006548262327884, + "loss": 4.9294, + "mean_token_accuracy": 0.24030217677354812, + "num_tokens": 16544707.0, + "step": 9100 + }, + { + "entropy": 5.707336902618408, + "epoch": 7.822518263859046, + "grad_norm": 1.34375, + "learning_rate": 0.0001098395136421739, + "loss": 4.9008, + "mean_token_accuracy": 0.23155685216188432, + "num_tokens": 16553883.0, + "step": 9105 + }, + { + "entropy": 5.673837184906006, + "epoch": 7.826815642458101, + "grad_norm": 1.3046875, + "learning_rate": 0.00010961390530555712, + "loss": 4.8925, + "mean_token_accuracy": 0.23413754403591155, + "num_tokens": 16562537.0, + "step": 9110 + }, + { + "entropy": 5.66425347328186, + "epoch": 7.831113021057155, + "grad_norm": 1.3515625, + "learning_rate": 0.00010938865810606682, + "loss": 4.8643, + "mean_token_accuracy": 0.23997241556644439, + "num_tokens": 16571665.0, + "step": 9115 + }, + { + "entropy": 5.6818047046661375, + "epoch": 7.83541039965621, + "grad_norm": 1.4921875, + "learning_rate": 0.00010916377253555293, + "loss": 4.8505, + "mean_token_accuracy": 0.23443864583969115, + "num_tokens": 16581102.0, + "step": 9120 + }, + { + "entropy": 5.636024236679077, + "epoch": 7.839707778255264, + "grad_norm": 1.40625, + "learning_rate": 0.00010893924908507573, + "loss": 4.8179, + "mean_token_accuracy": 0.2463734805583954, + "num_tokens": 16589958.0, + "step": 9125 + }, + { + "entropy": 5.7293510913848875, + "epoch": 7.844005156854319, + "grad_norm": 1.5, + "learning_rate": 0.0001087150882449046, + "loss": 4.8842, + "mean_token_accuracy": 0.24326430410146713, + "num_tokens": 16598800.0, + "step": 9130 + }, + { + "entropy": 5.675615882873535, + "epoch": 7.8483025354533735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010849129050451717, + "loss": 4.8569, + "mean_token_accuracy": 0.23552822470664977, + "num_tokens": 16607751.0, + "step": 9135 + }, + { + "entropy": 5.607501125335693, + "epoch": 7.852599914052428, + "grad_norm": 1.34375, + "learning_rate": 0.00010826785635259842, + "loss": 4.7993, + "mean_token_accuracy": 0.2433355689048767, + "num_tokens": 16616041.0, + "step": 9140 + }, + { + "entropy": 5.618802070617676, + "epoch": 7.856897292651483, + "grad_norm": 1.5625, + "learning_rate": 0.00010804478627703903, + "loss": 4.7761, + "mean_token_accuracy": 0.25758384317159655, + "num_tokens": 16624800.0, + "step": 9145 + }, + { + "entropy": 5.70573935508728, + "epoch": 7.861194671250537, + "grad_norm": 1.765625, + "learning_rate": 0.00010782208076493508, + "loss": 4.8799, + "mean_token_accuracy": 0.23971739262342454, + "num_tokens": 16632808.0, + "step": 9150 + }, + { + "entropy": 5.700254964828491, + "epoch": 7.865492049849592, + "grad_norm": 1.4296875, + "learning_rate": 0.00010759974030258621, + "loss": 4.8532, + "mean_token_accuracy": 0.24205577969551087, + "num_tokens": 16641179.0, + "step": 9155 + }, + { + "entropy": 5.651480436325073, + "epoch": 7.869789428448646, + "grad_norm": 1.2421875, + "learning_rate": 0.00010737776537549531, + "loss": 4.8599, + "mean_token_accuracy": 0.24276550859212875, + "num_tokens": 16650402.0, + "step": 9160 + }, + { + "entropy": 5.615023612976074, + "epoch": 7.874086807047701, + "grad_norm": 1.453125, + "learning_rate": 0.00010715615646836679, + "loss": 4.8228, + "mean_token_accuracy": 0.244487963616848, + "num_tokens": 16659661.0, + "step": 9165 + }, + { + "entropy": 5.592911720275879, + "epoch": 7.878384185646755, + "grad_norm": 1.328125, + "learning_rate": 0.00010693491406510585, + "loss": 4.8163, + "mean_token_accuracy": 0.2512414947152138, + "num_tokens": 16668630.0, + "step": 9170 + }, + { + "entropy": 5.685381031036377, + "epoch": 7.88268156424581, + "grad_norm": 1.484375, + "learning_rate": 0.00010671403864881757, + "loss": 4.8931, + "mean_token_accuracy": 0.2415841579437256, + "num_tokens": 16678023.0, + "step": 9175 + }, + { + "entropy": 5.69584379196167, + "epoch": 7.8869789428448644, + "grad_norm": 1.328125, + "learning_rate": 0.00010649353070180562, + "loss": 4.886, + "mean_token_accuracy": 0.23775400519371032, + "num_tokens": 16686751.0, + "step": 9180 + }, + { + "entropy": 5.675034427642823, + "epoch": 7.891276321443919, + "grad_norm": 1.390625, + "learning_rate": 0.00010627339070557118, + "loss": 4.8746, + "mean_token_accuracy": 0.2419977530837059, + "num_tokens": 16696672.0, + "step": 9185 + }, + { + "entropy": 5.638709783554077, + "epoch": 7.8955737000429735, + "grad_norm": 1.3828125, + "learning_rate": 0.00010605361914081194, + "loss": 4.7686, + "mean_token_accuracy": 0.24883348643779754, + "num_tokens": 16706018.0, + "step": 9190 + }, + { + "entropy": 5.6906637191772464, + "epoch": 7.899871078642028, + "grad_norm": 1.234375, + "learning_rate": 0.00010583421648742125, + "loss": 4.8111, + "mean_token_accuracy": 0.2465365782380104, + "num_tokens": 16715206.0, + "step": 9195 + }, + { + "entropy": 5.666348171234131, + "epoch": 7.904168457241083, + "grad_norm": 1.4609375, + "learning_rate": 0.00010561518322448673, + "loss": 4.9193, + "mean_token_accuracy": 0.2381324961781502, + "num_tokens": 16724479.0, + "step": 9200 + }, + { + "entropy": 5.628651762008667, + "epoch": 7.908465835840137, + "grad_norm": 1.53125, + "learning_rate": 0.00010539651983028955, + "loss": 4.7786, + "mean_token_accuracy": 0.2523382410407066, + "num_tokens": 16733304.0, + "step": 9205 + }, + { + "entropy": 5.616871786117554, + "epoch": 7.912763214439192, + "grad_norm": 1.5234375, + "learning_rate": 0.0001051782267823031, + "loss": 4.7756, + "mean_token_accuracy": 0.24963734596967696, + "num_tokens": 16741447.0, + "step": 9210 + }, + { + "entropy": 5.635164642333985, + "epoch": 7.917060593038247, + "grad_norm": 1.5078125, + "learning_rate": 0.00010496030455719225, + "loss": 4.8521, + "mean_token_accuracy": 0.23965709507465363, + "num_tokens": 16751487.0, + "step": 9215 + }, + { + "entropy": 5.644070672988891, + "epoch": 7.921357971637301, + "grad_norm": 1.4453125, + "learning_rate": 0.00010474275363081193, + "loss": 4.8551, + "mean_token_accuracy": 0.2444910541176796, + "num_tokens": 16760795.0, + "step": 9220 + }, + { + "entropy": 5.646812820434571, + "epoch": 7.925655350236356, + "grad_norm": 1.4765625, + "learning_rate": 0.0001045255744782064, + "loss": 4.8303, + "mean_token_accuracy": 0.24445725977420807, + "num_tokens": 16769639.0, + "step": 9225 + }, + { + "entropy": 5.709587478637696, + "epoch": 7.92995272883541, + "grad_norm": 1.34375, + "learning_rate": 0.00010430876757360817, + "loss": 4.9103, + "mean_token_accuracy": 0.23549216985702515, + "num_tokens": 16779195.0, + "step": 9230 + }, + { + "entropy": 5.562986993789673, + "epoch": 7.934250107434465, + "grad_norm": 1.4609375, + "learning_rate": 0.00010409233339043694, + "loss": 4.7358, + "mean_token_accuracy": 0.2566070005297661, + "num_tokens": 16787531.0, + "step": 9235 + }, + { + "entropy": 5.603441858291626, + "epoch": 7.93854748603352, + "grad_norm": 1.4765625, + "learning_rate": 0.00010387627240129838, + "loss": 4.7895, + "mean_token_accuracy": 0.25151281505823136, + "num_tokens": 16796392.0, + "step": 9240 + }, + { + "entropy": 5.647985029220581, + "epoch": 7.942844864632574, + "grad_norm": 1.2734375, + "learning_rate": 0.00010366058507798326, + "loss": 4.8395, + "mean_token_accuracy": 0.24179578721523284, + "num_tokens": 16804942.0, + "step": 9245 + }, + { + "entropy": 5.657173204421997, + "epoch": 7.947142243231629, + "grad_norm": 1.40625, + "learning_rate": 0.00010344527189146655, + "loss": 4.8896, + "mean_token_accuracy": 0.23595151156187058, + "num_tokens": 16813754.0, + "step": 9250 + }, + { + "entropy": 5.682489442825317, + "epoch": 7.9514396218306835, + "grad_norm": 1.28125, + "learning_rate": 0.00010323033331190626, + "loss": 4.8726, + "mean_token_accuracy": 0.239631487429142, + "num_tokens": 16823010.0, + "step": 9255 + }, + { + "entropy": 5.666946983337402, + "epoch": 7.955737000429738, + "grad_norm": 1.390625, + "learning_rate": 0.00010301576980864228, + "loss": 4.7882, + "mean_token_accuracy": 0.2553831934928894, + "num_tokens": 16831909.0, + "step": 9260 + }, + { + "entropy": 5.5937840938568115, + "epoch": 7.960034379028793, + "grad_norm": 1.46875, + "learning_rate": 0.00010280158185019547, + "loss": 4.8387, + "mean_token_accuracy": 0.2543884262442589, + "num_tokens": 16841460.0, + "step": 9265 + }, + { + "entropy": 5.6272660255432125, + "epoch": 7.964331757627847, + "grad_norm": 1.234375, + "learning_rate": 0.00010258776990426686, + "loss": 4.8492, + "mean_token_accuracy": 0.2500534489750862, + "num_tokens": 16850592.0, + "step": 9270 + }, + { + "entropy": 5.643726873397827, + "epoch": 7.968629136226902, + "grad_norm": 1.515625, + "learning_rate": 0.00010237433443773612, + "loss": 4.8581, + "mean_token_accuracy": 0.24305154681205748, + "num_tokens": 16859736.0, + "step": 9275 + }, + { + "entropy": 5.612250900268554, + "epoch": 7.972926514825956, + "grad_norm": 1.25, + "learning_rate": 0.00010216127591666115, + "loss": 4.8619, + "mean_token_accuracy": 0.25060978829860686, + "num_tokens": 16870084.0, + "step": 9280 + }, + { + "entropy": 5.636719512939453, + "epoch": 7.977223893425011, + "grad_norm": 1.6640625, + "learning_rate": 0.00010194859480627648, + "loss": 4.8777, + "mean_token_accuracy": 0.24135367721319198, + "num_tokens": 16877771.0, + "step": 9285 + }, + { + "entropy": 5.627331495285034, + "epoch": 7.981521272024065, + "grad_norm": 1.2890625, + "learning_rate": 0.00010173629157099279, + "loss": 4.8882, + "mean_token_accuracy": 0.2392001986503601, + "num_tokens": 16887487.0, + "step": 9290 + }, + { + "entropy": 5.626888370513916, + "epoch": 7.98581865062312, + "grad_norm": 1.234375, + "learning_rate": 0.00010152436667439537, + "loss": 4.8877, + "mean_token_accuracy": 0.2454797610640526, + "num_tokens": 16897286.0, + "step": 9295 + }, + { + "entropy": 5.670809698104859, + "epoch": 7.9901160292221745, + "grad_norm": 1.421875, + "learning_rate": 0.00010131282057924345, + "loss": 4.821, + "mean_token_accuracy": 0.24797312319278716, + "num_tokens": 16905968.0, + "step": 9300 + }, + { + "entropy": 5.704876232147217, + "epoch": 7.994413407821229, + "grad_norm": 1.34375, + "learning_rate": 0.00010110165374746924, + "loss": 4.8232, + "mean_token_accuracy": 0.24678525626659392, + "num_tokens": 16914604.0, + "step": 9305 + }, + { + "entropy": 5.683019065856934, + "epoch": 7.9987107864202835, + "grad_norm": 1.359375, + "learning_rate": 0.00010089086664017674, + "loss": 4.9812, + "mean_token_accuracy": 0.23446963727474213, + "num_tokens": 16925085.0, + "step": 9310 + }, + { + "entropy": 5.646041446261936, + "epoch": 8.002578427159433, + "grad_norm": 1.390625, + "learning_rate": 0.00010068045971764067, + "loss": 4.7677, + "mean_token_accuracy": 0.25311458938651615, + "num_tokens": 16932717.0, + "step": 9315 + }, + { + "entropy": 5.687277030944824, + "epoch": 8.006875805758487, + "grad_norm": 1.4140625, + "learning_rate": 0.00010047043343930561, + "loss": 4.8798, + "mean_token_accuracy": 0.24468370229005815, + "num_tokens": 16941332.0, + "step": 9320 + }, + { + "entropy": 5.604476070404052, + "epoch": 8.011173184357542, + "grad_norm": 1.4375, + "learning_rate": 0.00010026078826378502, + "loss": 4.7217, + "mean_token_accuracy": 0.2548048093914986, + "num_tokens": 16949732.0, + "step": 9325 + }, + { + "entropy": 5.661039781570435, + "epoch": 8.015470562956596, + "grad_norm": 1.3359375, + "learning_rate": 0.00010005152464886031, + "loss": 4.7478, + "mean_token_accuracy": 0.24966603070497512, + "num_tokens": 16958013.0, + "step": 9330 + }, + { + "entropy": 5.6239735126495365, + "epoch": 8.019767941555651, + "grad_norm": 1.3125, + "learning_rate": 9.984264305147941e-05, + "loss": 4.7115, + "mean_token_accuracy": 0.2564238518476486, + "num_tokens": 16966050.0, + "step": 9335 + }, + { + "entropy": 5.616132545471191, + "epoch": 8.024065320154705, + "grad_norm": 1.328125, + "learning_rate": 9.963414392775627e-05, + "loss": 4.7125, + "mean_token_accuracy": 0.25857759863138197, + "num_tokens": 16975178.0, + "step": 9340 + }, + { + "entropy": 5.536005544662475, + "epoch": 8.02836269875376, + "grad_norm": 1.3125, + "learning_rate": 9.942602773296971e-05, + "loss": 4.701, + "mean_token_accuracy": 0.26308748573064805, + "num_tokens": 16984247.0, + "step": 9345 + }, + { + "entropy": 5.716782569885254, + "epoch": 8.032660077352816, + "grad_norm": 1.3515625, + "learning_rate": 9.921829492156223e-05, + "loss": 4.8897, + "mean_token_accuracy": 0.2355976179242134, + "num_tokens": 16995048.0, + "step": 9350 + }, + { + "entropy": 5.6854979515075685, + "epoch": 8.03695745595187, + "grad_norm": 1.625, + "learning_rate": 9.901094594713933e-05, + "loss": 4.8501, + "mean_token_accuracy": 0.2387949600815773, + "num_tokens": 17003748.0, + "step": 9355 + }, + { + "entropy": 5.691632413864136, + "epoch": 8.041254834550925, + "grad_norm": 1.4140625, + "learning_rate": 9.88039812624682e-05, + "loss": 4.8154, + "mean_token_accuracy": 0.24805701822042464, + "num_tokens": 17011639.0, + "step": 9360 + }, + { + "entropy": 5.735028791427612, + "epoch": 8.045552213149978, + "grad_norm": 1.2109375, + "learning_rate": 9.859740131947715e-05, + "loss": 4.8078, + "mean_token_accuracy": 0.2420959696173668, + "num_tokens": 17021056.0, + "step": 9365 + }, + { + "entropy": 5.678194046020508, + "epoch": 8.049849591749034, + "grad_norm": 1.3671875, + "learning_rate": 9.839120656925407e-05, + "loss": 4.8574, + "mean_token_accuracy": 0.23739131838083266, + "num_tokens": 17030944.0, + "step": 9370 + }, + { + "entropy": 5.6369085788726805, + "epoch": 8.054146970348087, + "grad_norm": 1.421875, + "learning_rate": 9.818539746204588e-05, + "loss": 4.8013, + "mean_token_accuracy": 0.24849113821983337, + "num_tokens": 17040127.0, + "step": 9375 + }, + { + "entropy": 5.710569906234741, + "epoch": 8.058444348947143, + "grad_norm": 1.6171875, + "learning_rate": 9.797997444725745e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24967314451932907, + "num_tokens": 17049418.0, + "step": 9380 + }, + { + "entropy": 5.609195852279663, + "epoch": 8.062741727546197, + "grad_norm": 1.34375, + "learning_rate": 9.77749379734506e-05, + "loss": 4.7923, + "mean_token_accuracy": 0.2569655641913414, + "num_tokens": 17058270.0, + "step": 9385 + }, + { + "entropy": 5.674309730529785, + "epoch": 8.067039106145252, + "grad_norm": 1.4609375, + "learning_rate": 9.757028848834293e-05, + "loss": 4.8089, + "mean_token_accuracy": 0.2483993098139763, + "num_tokens": 17068011.0, + "step": 9390 + }, + { + "entropy": 5.636227035522461, + "epoch": 8.071336484744306, + "grad_norm": 1.3828125, + "learning_rate": 9.736602643880712e-05, + "loss": 4.8026, + "mean_token_accuracy": 0.24484998136758804, + "num_tokens": 17077356.0, + "step": 9395 + }, + { + "entropy": 5.644352102279663, + "epoch": 8.075633863343361, + "grad_norm": 1.359375, + "learning_rate": 9.716215227086997e-05, + "loss": 4.7616, + "mean_token_accuracy": 0.24986155480146408, + "num_tokens": 17085679.0, + "step": 9400 + }, + { + "entropy": 5.6834478855133055, + "epoch": 8.079931241942415, + "grad_norm": 1.3203125, + "learning_rate": 9.695866642971098e-05, + "loss": 4.7877, + "mean_token_accuracy": 0.24179317951202392, + "num_tokens": 17094925.0, + "step": 9405 + }, + { + "entropy": 5.635635614395142, + "epoch": 8.08422862054147, + "grad_norm": 1.40625, + "learning_rate": 9.67555693596621e-05, + "loss": 4.8421, + "mean_token_accuracy": 0.24287659376859666, + "num_tokens": 17105278.0, + "step": 9410 + }, + { + "entropy": 5.594030666351318, + "epoch": 8.088525999140524, + "grad_norm": 1.40625, + "learning_rate": 9.655286150420595e-05, + "loss": 4.7669, + "mean_token_accuracy": 0.25346663445234296, + "num_tokens": 17114070.0, + "step": 9415 + }, + { + "entropy": 5.569116306304932, + "epoch": 8.09282337773958, + "grad_norm": 1.2578125, + "learning_rate": 9.635054330597565e-05, + "loss": 4.694, + "mean_token_accuracy": 0.2626067653298378, + "num_tokens": 17122862.0, + "step": 9420 + }, + { + "entropy": 5.6683930397033695, + "epoch": 8.097120756338633, + "grad_norm": 1.4765625, + "learning_rate": 9.614861520675322e-05, + "loss": 4.7552, + "mean_token_accuracy": 0.2559780165553093, + "num_tokens": 17131555.0, + "step": 9425 + }, + { + "entropy": 5.626582384109497, + "epoch": 8.101418134937688, + "grad_norm": 1.390625, + "learning_rate": 9.594707764746881e-05, + "loss": 4.7252, + "mean_token_accuracy": 0.25357394516468046, + "num_tokens": 17140841.0, + "step": 9430 + }, + { + "entropy": 5.595681619644165, + "epoch": 8.105715513536742, + "grad_norm": 1.328125, + "learning_rate": 9.57459310682e-05, + "loss": 4.7846, + "mean_token_accuracy": 0.24935179948806763, + "num_tokens": 17150027.0, + "step": 9435 + }, + { + "entropy": 5.689383602142334, + "epoch": 8.110012892135797, + "grad_norm": 1.3203125, + "learning_rate": 9.554517590817055e-05, + "loss": 4.8344, + "mean_token_accuracy": 0.2364582061767578, + "num_tokens": 17159589.0, + "step": 9440 + }, + { + "entropy": 5.6651389598846436, + "epoch": 8.114310270734851, + "grad_norm": 1.296875, + "learning_rate": 9.534481260574944e-05, + "loss": 4.8245, + "mean_token_accuracy": 0.24162878692150117, + "num_tokens": 17168219.0, + "step": 9445 + }, + { + "entropy": 5.655685997009277, + "epoch": 8.118607649333907, + "grad_norm": 1.328125, + "learning_rate": 9.514484159844997e-05, + "loss": 4.8044, + "mean_token_accuracy": 0.24854951202869416, + "num_tokens": 17177364.0, + "step": 9450 + }, + { + "entropy": 5.6925647258758545, + "epoch": 8.12290502793296, + "grad_norm": 1.4765625, + "learning_rate": 9.494526332292899e-05, + "loss": 4.8423, + "mean_token_accuracy": 0.2397886872291565, + "num_tokens": 17186572.0, + "step": 9455 + }, + { + "entropy": 5.654357242584228, + "epoch": 8.127202406532016, + "grad_norm": 1.3671875, + "learning_rate": 9.47460782149857e-05, + "loss": 4.8388, + "mean_token_accuracy": 0.2454209119081497, + "num_tokens": 17195645.0, + "step": 9460 + }, + { + "entropy": 5.684907484054565, + "epoch": 8.13149978513107, + "grad_norm": 1.34375, + "learning_rate": 9.454728670956073e-05, + "loss": 4.8143, + "mean_token_accuracy": 0.23839772045612334, + "num_tokens": 17205279.0, + "step": 9465 + }, + { + "entropy": 5.620777225494384, + "epoch": 8.135797163730125, + "grad_norm": 1.40625, + "learning_rate": 9.43488892407352e-05, + "loss": 4.7512, + "mean_token_accuracy": 0.25200601369142533, + "num_tokens": 17214536.0, + "step": 9470 + }, + { + "entropy": 5.682265663146973, + "epoch": 8.140094542329178, + "grad_norm": 1.34375, + "learning_rate": 9.415088624172997e-05, + "loss": 4.846, + "mean_token_accuracy": 0.24233781099319457, + "num_tokens": 17223336.0, + "step": 9475 + }, + { + "entropy": 5.688704490661621, + "epoch": 8.144391920928234, + "grad_norm": 1.3828125, + "learning_rate": 9.395327814490439e-05, + "loss": 4.8558, + "mean_token_accuracy": 0.23712000399827957, + "num_tokens": 17232991.0, + "step": 9480 + }, + { + "entropy": 5.685535001754761, + "epoch": 8.148689299527287, + "grad_norm": 1.5, + "learning_rate": 9.375606538175566e-05, + "loss": 4.7689, + "mean_token_accuracy": 0.24820202291011811, + "num_tokens": 17241760.0, + "step": 9485 + }, + { + "entropy": 5.710322761535645, + "epoch": 8.152986678126343, + "grad_norm": 1.3359375, + "learning_rate": 9.35592483829175e-05, + "loss": 4.8582, + "mean_token_accuracy": 0.23691945970058442, + "num_tokens": 17251514.0, + "step": 9490 + }, + { + "entropy": 5.667467212677002, + "epoch": 8.157284056725398, + "grad_norm": 1.421875, + "learning_rate": 9.336282757815964e-05, + "loss": 4.8301, + "mean_token_accuracy": 0.24544458836317062, + "num_tokens": 17260876.0, + "step": 9495 + }, + { + "entropy": 5.620681381225586, + "epoch": 8.161581435324452, + "grad_norm": 1.4375, + "learning_rate": 9.316680339638664e-05, + "loss": 4.8495, + "mean_token_accuracy": 0.24359913915395737, + "num_tokens": 17270051.0, + "step": 9500 + }, + { + "epoch": 8.161581435324452, + "eval_entropy": 5.470761820539698, + "eval_loss": 5.884027481079102, + "eval_mean_token_accuracy": 0.18388339954319302, + "eval_num_tokens": 17270051.0, + "eval_runtime": 2.0482, + "eval_samples_per_second": 1732.734, + "eval_steps_per_second": 216.775, + "step": 9500 + } + ], + "logging_steps": 5, + "max_steps": 11630, + "num_input_tokens_seen": 0, + "num_train_epochs": 10, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3885703429294080.0, + "train_batch_size": 16, + "trial_name": null, + "trial_params": null +} diff --git a/checkpoint-9500/training_args.bin b/checkpoint-9500/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/checkpoint-9500/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353 diff --git a/config.json b/config.json new file mode 100644 index 0000000..6aa3e79 --- /dev/null +++ b/config.json @@ -0,0 +1,34 @@ +{ + "activation_function": "gelu", + "architectures": [ + "GPT2LMHeadModel" + ], + "attn_pdrop": 0.1, + "bos_token_id": 50000, + "dtype": "bfloat16", + "embd_pdrop": 0.1, + "eos_token_id": 50001, + "initializer_range": 0.02, + "layer_norm_epsilon": 1e-05, + "model_type": "gpt2", + "n_ctx": 512, + "n_embd": 512, + "n_head": 8, + "n_inner": 2048, + "n_layer": 4, + "n_positions": 512, + "pad_token_id": 50002, + "prefix": "[CLS]", + "reorder_and_upcast_attn": false, + "resid_pdrop": 0.1, + "scale_attn_by_inverse_layer_idx": false, + "scale_attn_weights": true, + "summary_activation": null, + "summary_first_dropout": 0.1, + "summary_proj_to_labels": true, + "summary_type": "cls_index", + "summary_use_proj": true, + "transformers_version": "4.56.2", + "use_cache": true, + "vocab_size": 51200 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..4c122f0 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 50000, + "eos_token_id": [ + 50001 + ], + "pad_token_id": 50002, + "transformers_version": "4.56.2" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..a8d14ab --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23a608c6397e5d8f18dce10b6426a4534d9de4d0928714a542f4a3f27462055c +size 78179408 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..c78a835 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,1249 @@ +{ + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "cls_token": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "mask_token": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "sep_token": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/spiece.model b/spiece.model new file mode 100644 index 0000000..22208a8 --- /dev/null +++ b/spiece.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f712559c1ce506dfb7aa691ca770055d2170d3339aa7ee2e0e463181c2fe1e01 +size 1173726 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..b27d01f --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,10825 @@ +{ + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50000": { + "content": "[CLS]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50001": { + "content": "[SEP]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50002": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50003": { + "content": "[MASK]", + "lstrip": true, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50004": { + "content": "[XXXXX160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50005": { + "content": "[XXXXX240]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50006": { + "content": "[XXXXX717]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50007": { + "content": "[XXXXX23]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50008": { + "content": "[XXXXX161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50009": { + "content": "[XXXXX1156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50010": { + "content": "[XXXXX5]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50011": { + "content": "[XXXXX597]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50012": { + "content": "[XXXXX415]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50013": { + "content": "[XXXXX693]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50014": { + "content": "[XXXXX1083]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50015": { + "content": "[XXXXX784]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50016": { + "content": "[XXXXX686]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50017": { + "content": "[XXXXX379]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50018": { + "content": "[XXXXX335]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50019": { + "content": "[XXXXX73]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50020": { + "content": "[XXXXX758]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50021": { + "content": "[XXXXX805]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50022": { + "content": "[XXXXX840]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50023": { + "content": "[XXXXX1037]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50024": { + "content": "[XXXXX235]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50025": { + "content": "[XXXXX1107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50026": { + "content": "[XXXXX776]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50027": { + "content": "[XXXXX286]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50028": { + "content": "[XXXXX396]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50029": { + "content": "[XXXXX478]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50030": { + "content": "[XXXXX669]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50031": { + "content": "[XXXXX691]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50032": { + "content": "[XXXXX826]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50033": { + "content": "[XXXXX1150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50034": { + "content": "[XXXXX853]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50035": { + "content": "[XXXXX130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50036": { + "content": "[XXXXX989]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50037": { + "content": "[XXXXX249]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50038": { + "content": "[XXXXX902]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50039": { + "content": "[XXXXX1169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50040": { + "content": "[XXXXX260]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50041": { + "content": "[XXXXX706]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50042": { + "content": "[XXXXX146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50043": { + "content": "[XXXXX198]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50044": { + "content": "[XXXXX303]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50045": { + "content": "[XXXXX1192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50046": { + "content": "[XXXXX635]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50047": { + "content": "[XXXXX271]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50048": { + "content": "[XXXXX1023]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50049": { + "content": "[XXXXX602]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50050": { + "content": "[XXXXX291]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50051": { + "content": "[XXXXX190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50052": { + "content": "[XXXXX1055]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50053": { + "content": "[XXXXX70]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50054": { + "content": "[XXXXX178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50055": { + "content": "[XXXXX318]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50056": { + "content": "[XXXXX62]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50057": { + "content": "[XXXXX473]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50058": { + "content": "[XXXXX517]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50059": { + "content": "[XXXXX924]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50060": { + "content": "[XXXXX970]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50061": { + "content": "[XXXXX1033]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50062": { + "content": "[XXXXX110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50063": { + "content": "[XXXXX1151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50064": { + "content": "[XXXXX1189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50065": { + "content": "[XXXXX1095]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50066": { + "content": "[XXXXX148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50067": { + "content": "[XXXXX337]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50068": { + "content": "[XXXXX245]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50069": { + "content": "[XXXXX407]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50070": { + "content": "[XXXXX557]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50071": { + "content": "[XXXXX576]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50072": { + "content": "[XXXXX914]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50073": { + "content": "[XXXXX963]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50074": { + "content": "[XXXXX951]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50075": { + "content": "[XXXXX721]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50076": { + "content": "[XXXXX1174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50077": { + "content": "[XXXXX3]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50078": { + "content": "[XXXXX792]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50079": { + "content": "[XXXXX843]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50080": { + "content": "[XXXXX590]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50081": { + "content": "[XXXXX118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50082": { + "content": "[XXXXX280]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50083": { + "content": "[XXXXX1119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50084": { + "content": "[XXXXX1025]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50085": { + "content": "[XXXXX140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50086": { + "content": "[XXXXX873]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50087": { + "content": "[XXXXX103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50088": { + "content": "[XXXXX307]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50089": { + "content": "[XXXXX946]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50090": { + "content": "[XXXXX782]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50091": { + "content": "[XXXXX100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50092": { + "content": "[XXXXX485]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50093": { + "content": "[XXXXX151]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50094": { + "content": "[XXXXX213]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50095": { + "content": "[XXXXX847]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50096": { + "content": "[XXXXX880]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50097": { + "content": "[XXXXX44]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50098": { + "content": "[XXXXX1031]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50099": { + "content": "[XXXXX545]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50100": { + "content": "[XXXXX78]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50101": { + "content": "[XXXXX687]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50102": { + "content": "[XXXXX925]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50103": { + "content": "[XXXXX519]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50104": { + "content": "[XXXXX1191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50105": { + "content": "[XXXXX13]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50106": { + "content": "[XXXXX487]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50107": { + "content": "[XXXXX932]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50108": { + "content": "[XXXXX119]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50109": { + "content": "[XXXXX170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50110": { + "content": "[XXXXX254]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50111": { + "content": "[XXXXX420]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50112": { + "content": "[XXXXX962]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50113": { + "content": "[XXXXX441]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50114": { + "content": "[XXXXX950]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50115": { + "content": "[XXXXX18]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50116": { + "content": "[XXXXX676]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50117": { + "content": "[XXXXX1133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50118": { + "content": "[XXXXX618]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50119": { + "content": "[XXXXX374]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50120": { + "content": "[XXXXX815]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50121": { + "content": "[XXXXX1058]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50122": { + "content": "[XXXXX1108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50123": { + "content": "[XXXXX1144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50124": { + "content": "[XXXXX791]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50125": { + "content": "[XXXXX259]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50126": { + "content": "[XXXXX1074]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50127": { + "content": "[XXXXX696]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50128": { + "content": "[XXXXX1168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50129": { + "content": "[XXXXX592]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50130": { + "content": "[XXXXX127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50131": { + "content": "[XXXXX136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50132": { + "content": "[XXXXX237]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50133": { + "content": "[XXXXX705]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50134": { + "content": "[XXXXX983]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50135": { + "content": "[XXXXX816]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50136": { + "content": "[XXXXX412]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50137": { + "content": "[XXXXX410]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50138": { + "content": "[XXXXX795]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50139": { + "content": "[XXXXX101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50140": { + "content": "[XXXXX171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50141": { + "content": "[XXXXX628]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50142": { + "content": "[XXXXX1038]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50143": { + "content": "[XXXXX447]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50144": { + "content": "[XXXXX1043]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50145": { + "content": "[XXXXX147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50146": { + "content": "[XXXXX1112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50147": { + "content": "[XXXXX186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50148": { + "content": "[XXXXX461]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50149": { + "content": "[XXXXX423]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50150": { + "content": "[XXXXX26]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50151": { + "content": "[XXXXX227]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50152": { + "content": "[XXXXX746]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50153": { + "content": "[XXXXX818]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50154": { + "content": "[XXXXX725]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50155": { + "content": "[XXXXX400]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50156": { + "content": "[XXXXX827]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50157": { + "content": "[XXXXX1020]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50158": { + "content": "[XXXXX1060]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50159": { + "content": "[XXXXX195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50160": { + "content": "[XXXXX526]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50161": { + "content": "[XXXXX570]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50162": { + "content": "[XXXXX174]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50163": { + "content": "[XXXXX333]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50164": { + "content": "[XXXXX466]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50165": { + "content": "[XXXXX513]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50166": { + "content": "[XXXXX695]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50167": { + "content": "[XXXXX84]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50168": { + "content": "[XXXXX1080]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50169": { + "content": "[XXXXX76]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50170": { + "content": "[XXXXX742]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50171": { + "content": "[XXXXX1008]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50172": { + "content": "[XXXXX1123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50173": { + "content": "[XXXXX1145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50174": { + "content": "[XXXXX701]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50175": { + "content": "[XXXXX562]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50176": { + "content": "[XXXXX615]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50177": { + "content": "[XXXXX389]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50178": { + "content": "[XXXXX267]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50179": { + "content": "[XXXXX323]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50180": { + "content": "[XXXXX346]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50181": { + "content": "[XXXXX287]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50182": { + "content": "[XXXXX469]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50183": { + "content": "[XXXXX58]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50184": { + "content": "[XXXXX431]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50185": { + "content": "[XXXXX926]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50186": { + "content": "[XXXXX1182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50187": { + "content": "[XXXXX992]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50188": { + "content": "[XXXXX185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50189": { + "content": "[XXXXX352]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50190": { + "content": "[XXXXX762]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50191": { + "content": "[XXXXX991]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50192": { + "content": "[XXXXX85]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50193": { + "content": "[XXXXX836]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50194": { + "content": "[XXXXX460]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50195": { + "content": "[XXXXX272]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50196": { + "content": "[XXXXX619]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50197": { + "content": "[XXXXX759]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50198": { + "content": "[XXXXX94]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50199": { + "content": "[XXXXX807]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50200": { + "content": "[XXXXX299]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50201": { + "content": "[XXXXX187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50202": { + "content": "[XXXXX486]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50203": { + "content": "[XXXXX45]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50204": { + "content": "[XXXXX1036]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50205": { + "content": "[XXXXX354]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50206": { + "content": "[XXXXX386]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50207": { + "content": "[XXXXX714]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50208": { + "content": "[XXXXX769]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50209": { + "content": "[XXXXX304]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50210": { + "content": "[XXXXX92]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50211": { + "content": "[XXXXX7]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50212": { + "content": "[XXXXX31]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50213": { + "content": "[XXXXX102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50214": { + "content": "[XXXXX163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50215": { + "content": "[XXXXX723]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50216": { + "content": "[XXXXX1042]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50217": { + "content": "[XXXXX452]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50218": { + "content": "[XXXXX622]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50219": { + "content": "[XXXXX1056]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50220": { + "content": "[XXXXX822]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50221": { + "content": "[XXXXX125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50222": { + "content": "[XXXXX617]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50223": { + "content": "[XXXXX34]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50224": { + "content": "[XXXXX712]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50225": { + "content": "[XXXXX780]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50226": { + "content": "[XXXXX547]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50227": { + "content": "[XXXXX857]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50228": { + "content": "[XXXXX860]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50229": { + "content": "[XXXXX897]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50230": { + "content": "[XXXXX663]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50231": { + "content": "[XXXXX736]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50232": { + "content": "[XXXXX202]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50233": { + "content": "[XXXXX1029]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50234": { + "content": "[XXXXX956]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50235": { + "content": "[XXXXX397]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50236": { + "content": "[XXXXX239]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50237": { + "content": "[XXXXX472]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50238": { + "content": "[XXXXX230]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50239": { + "content": "[XXXXX796]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50240": { + "content": "[XXXXX639]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50241": { + "content": "[XXXXX203]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50242": { + "content": "[XXXXX231]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50243": { + "content": "[XXXXX652]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50244": { + "content": "[XXXXX981]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50245": { + "content": "[XXXXX911]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50246": { + "content": "[XXXXX380]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50247": { + "content": "[XXXXX477]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50248": { + "content": "[XXXXX952]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50249": { + "content": "[XXXXX28]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50250": { + "content": "[XXXXX801]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50251": { + "content": "[XXXXX1134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50252": { + "content": "[XXXXX1176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50253": { + "content": "[XXXXX180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50254": { + "content": "[XXXXX598]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50255": { + "content": "[XXXXX365]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50256": { + "content": "[XXXXX729]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50257": { + "content": "[XXXXX214]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50258": { + "content": "[XXXXX1117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50259": { + "content": "[XXXXX278]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50260": { + "content": "[XXXXX522]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50261": { + "content": "[XXXXX683]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50262": { + "content": "[XXXXX731]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50263": { + "content": "[XXXXX312]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50264": { + "content": "[XXXXX1178]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50265": { + "content": "[XXXXX666]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50266": { + "content": "[XXXXX982]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50267": { + "content": "[XXXXX414]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50268": { + "content": "[XXXXX935]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50269": { + "content": "[XXXXX1089]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50270": { + "content": "[XXXXX236]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50271": { + "content": "[XXXXX463]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50272": { + "content": "[XXXXX52]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50273": { + "content": "[XXXXX593]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50274": { + "content": "[XXXXX508]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50275": { + "content": "[XXXXX1125]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50276": { + "content": "[XXXXX462]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50277": { + "content": "[XXXXX32]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50278": { + "content": "[XXXXX596]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50279": { + "content": "[XXXXX948]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50280": { + "content": "[XXXXX150]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50281": { + "content": "[XXXXX322]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50282": { + "content": "[XXXXX390]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50283": { + "content": "[XXXXX918]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50284": { + "content": "[XXXXX157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50285": { + "content": "[XXXXX310]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50286": { + "content": "[XXXXX392]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50287": { + "content": "[XXXXX649]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50288": { + "content": "[XXXXX158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50289": { + "content": "[XXXXX430]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50290": { + "content": "[XXXXX384]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50291": { + "content": "[XXXXX760]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50292": { + "content": "[XXXXX700]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50293": { + "content": "[XXXXX817]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50294": { + "content": "[XXXXX115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50295": { + "content": "[XXXXX885]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50296": { + "content": "[XXXXX940]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50297": { + "content": "[XXXXX997]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50298": { + "content": "[XXXXX61]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50299": { + "content": "[XXXXX209]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50300": { + "content": "[XXXXX316]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50301": { + "content": "[XXXXX537]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50302": { + "content": "[XXXXX599]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50303": { + "content": "[XXXXX680]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50304": { + "content": "[XXXXX135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50305": { + "content": "[XXXXX39]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50306": { + "content": "[XXXXX685]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50307": { + "content": "[XXXXX806]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50308": { + "content": "[XXXXX870]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50309": { + "content": "[XXXXX1096]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50310": { + "content": "[XXXXX366]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50311": { + "content": "[XXXXX509]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50312": { + "content": "[XXXXX943]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50313": { + "content": "[XXXXX292]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50314": { + "content": "[XXXXX367]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50315": { + "content": "[XXXXX632]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50316": { + "content": "[XXXXX1136]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50317": { + "content": "[XXXXX156]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50318": { + "content": "[XXXXX1100]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50319": { + "content": "[XXXXX432]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50320": { + "content": "[XXXXX514]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50321": { + "content": "[XXXXX903]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50322": { + "content": "[XXXXX939]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50323": { + "content": "[XXXXX986]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50324": { + "content": "[XXXXX506]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50325": { + "content": "[XXXXX10]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50326": { + "content": "[XXXXX573]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50327": { + "content": "[XXXXX968]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50328": { + "content": "[XXXXX1039]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50329": { + "content": "[XXXXX252]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50330": { + "content": "[XXXXX612]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50331": { + "content": "[XXXXX947]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50332": { + "content": "[XXXXX1162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50333": { + "content": "[XXXXX733]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50334": { + "content": "[XXXXX976]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50335": { + "content": "[XXXXX535]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50336": { + "content": "[XXXXX710]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50337": { + "content": "[XXXXX40]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50338": { + "content": "[XXXXX984]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50339": { + "content": "[XXXXX584]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50340": { + "content": "[XXXXX132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50341": { + "content": "[XXXXX1084]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50342": { + "content": "[XXXXX549]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50343": { + "content": "[XXXXX810]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50344": { + "content": "[XXXXX208]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50345": { + "content": "[XXXXX609]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50346": { + "content": "[XXXXX275]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50347": { + "content": "[XXXXX262]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50348": { + "content": "[XXXXX331]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50349": { + "content": "[XXXXX361]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50350": { + "content": "[XXXXX561]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50351": { + "content": "[XXXXX143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50352": { + "content": "[XXXXX1061]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50353": { + "content": "[XXXXX59]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50354": { + "content": "[XXXXX21]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50355": { + "content": "[XXXXX995]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50356": { + "content": "[XXXXX439]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50357": { + "content": "[XXXXX831]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50358": { + "content": "[XXXXX745]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50359": { + "content": "[XXXXX43]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50360": { + "content": "[XXXXX498]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50361": { + "content": "[XXXXX575]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50362": { + "content": "[XXXXX624]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50363": { + "content": "[XXXXX72]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50364": { + "content": "[XXXXX921]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50365": { + "content": "[XXXXX201]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50366": { + "content": "[XXXXX1171]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50367": { + "content": "[XXXXX912]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50368": { + "content": "[XXXXX775]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50369": { + "content": "[XXXXX1094]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50370": { + "content": "[XXXXX80]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50371": { + "content": "[XXXXX894]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50372": { + "content": "[XXXXX876]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50373": { + "content": "[XXXXX1143]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50374": { + "content": "[XXXXX355]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50375": { + "content": "[XXXXX450]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50376": { + "content": "[XXXXX642]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50377": { + "content": "[XXXXX162]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50378": { + "content": "[XXXXX394]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50379": { + "content": "[XXXXX296]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50380": { + "content": "[XXXXX536]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50381": { + "content": "[XXXXX560]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50382": { + "content": "[XXXXX373]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50383": { + "content": "[XXXXX674]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50384": { + "content": "[XXXXX1099]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50385": { + "content": "[XXXXX797]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50386": { + "content": "[XXXXX516]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50387": { + "content": "[XXXXX41]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50388": { + "content": "[XXXXX594]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50389": { + "content": "[XXXXX319]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50390": { + "content": "[XXXXX165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50391": { + "content": "[XXXXX344]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50392": { + "content": "[XXXXX1012]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50393": { + "content": "[XXXXX942]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50394": { + "content": "[XXXXX1071]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50395": { + "content": "[XXXXX648]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50396": { + "content": "[XXXXX4]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50397": { + "content": "[XXXXX633]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50398": { + "content": "[XXXXX551]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50399": { + "content": "[XXXXX586]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50400": { + "content": "[XXXXX578]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50401": { + "content": "[XXXXX348]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50402": { + "content": "[XXXXX614]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50403": { + "content": "[XXXXX33]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50404": { + "content": "[XXXXX1193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50405": { + "content": "[XXXXX737]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50406": { + "content": "[XXXXX233]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50407": { + "content": "[XXXXX933]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50408": { + "content": "[XXXXX781]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50409": { + "content": "[XXXXX189]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50410": { + "content": "[XXXXX1006]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50411": { + "content": "[XXXXX219]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50412": { + "content": "[XXXXX454]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50413": { + "content": "[XXXXX449]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50414": { + "content": "[XXXXX697]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50415": { + "content": "[XXXXX724]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50416": { + "content": "[XXXXX224]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50417": { + "content": "[XXXXX1157]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50418": { + "content": "[XXXXX455]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50419": { + "content": "[XXXXX505]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50420": { + "content": "[XXXXX96]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50421": { + "content": "[XXXXX182]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50422": { + "content": "[XXXXX424]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50423": { + "content": "[XXXXX872]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50424": { + "content": "[XXXXX1163]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50425": { + "content": "[XXXXX1081]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50426": { + "content": "[XXXXX1173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50427": { + "content": "[XXXXX172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50428": { + "content": "[XXXXX507]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50429": { + "content": "[XXXXX920]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50430": { + "content": "[XXXXX1126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50431": { + "content": "[XXXXX474]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50432": { + "content": "[XXXXX971]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50433": { + "content": "[XXXXX1049]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50434": { + "content": "[XXXXX1114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50435": { + "content": "[XXXXX1040]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50436": { + "content": "[XXXXX79]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50437": { + "content": "[XXXXX36]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50438": { + "content": "[XXXXX977]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50439": { + "content": "[XXXXX1129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50440": { + "content": "[XXXXX1063]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50441": { + "content": "[XXXXX773]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50442": { + "content": "[XXXXX16]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50443": { + "content": "[XXXXX113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50444": { + "content": "[XXXXX320]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50445": { + "content": "[XXXXX167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50446": { + "content": "[XXXXX751]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50447": { + "content": "[XXXXX656]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50448": { + "content": "[XXXXX543]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50449": { + "content": "[XXXXX828]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50450": { + "content": "[XXXXX915]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50451": { + "content": "[XXXXX1098]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50452": { + "content": "[XXXXX569]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50453": { + "content": "[XXXXX1166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50454": { + "content": "[XXXXX846]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50455": { + "content": "[XXXXX324]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50456": { + "content": "[XXXXX802]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50457": { + "content": "[XXXXX588]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50458": { + "content": "[XXXXX739]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50459": { + "content": "[XXXXX50]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50460": { + "content": "[XXXXX882]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50461": { + "content": "[XXXXX1054]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50462": { + "content": "[XXXXX621]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50463": { + "content": "[XXXXX585]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50464": { + "content": "[XXXXX121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50465": { + "content": "[XXXXX647]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50466": { + "content": "[XXXXX767]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50467": { + "content": "[XXXXX645]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50468": { + "content": "[XXXXX27]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50469": { + "content": "[XXXXX907]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50470": { + "content": "[XXXXX1109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50471": { + "content": "[XXXXX1147]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50472": { + "content": "[XXXXX501]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50473": { + "content": "[XXXXX1164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50474": { + "content": "[XXXXX650]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50475": { + "content": "[XXXXX329]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50476": { + "content": "[XXXXX659]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50477": { + "content": "[XXXXX1158]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50478": { + "content": "[XXXXX104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50479": { + "content": "[XXXXX629]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50480": { + "content": "[XXXXX868]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50481": { + "content": "[XXXXX779]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50482": { + "content": "[XXXXX17]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50483": { + "content": "[XXXXX377]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50484": { + "content": "[XXXXX467]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50485": { + "content": "[XXXXX917]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50486": { + "content": "[XXXXX830]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50487": { + "content": "[XXXXX533]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50488": { + "content": "[XXXXX862]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50489": { + "content": "[XXXXX1041]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50490": { + "content": "[XXXXX542]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50491": { + "content": "[XXXXX595]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50492": { + "content": "[XXXXX353]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50493": { + "content": "[XXXXX181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50494": { + "content": "[XXXXX662]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50495": { + "content": "[XXXXX1195]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50496": { + "content": "[XXXXX435]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50497": { + "content": "[XXXXX1051]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50498": { + "content": "[XXXXX703]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50499": { + "content": "[XXXXX1140]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50500": { + "content": "[XXXXX750]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50501": { + "content": "[XXXXX57]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50502": { + "content": "[XXXXX75]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50503": { + "content": "[XXXXX293]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50504": { + "content": "[XXXXX681]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50505": { + "content": "[XXXXX46]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50506": { + "content": "[XXXXX30]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50507": { + "content": "[XXXXX402]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50508": { + "content": "[XXXXX803]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50509": { + "content": "[XXXXX821]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50510": { + "content": "[XXXXX871]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50511": { + "content": "[XXXXX980]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50512": { + "content": "[XXXXX990]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50513": { + "content": "[XXXXX626]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50514": { + "content": "[XXXXX90]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50515": { + "content": "[XXXXX77]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50516": { + "content": "[XXXXX819]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50517": { + "content": "[XXXXX436]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50518": { + "content": "[XXXXX306]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50519": { + "content": "[XXXXX434]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50520": { + "content": "[XXXXX88]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50521": { + "content": "[XXXXX184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50522": { + "content": "[XXXXX290]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50523": { + "content": "[XXXXX216]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50524": { + "content": "[XXXXX176]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50525": { + "content": "[XXXXX747]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50526": { + "content": "[XXXXX938]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50527": { + "content": "[XXXXX442]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50528": { + "content": "[XXXXX301]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50529": { + "content": "[XXXXX1015]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50530": { + "content": "[XXXXX520]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50531": { + "content": "[XXXXX829]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50532": { + "content": "[XXXXX106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50533": { + "content": "[XXXXX1048]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50534": { + "content": "[XXXXX923]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50535": { + "content": "[XXXXX958]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50536": { + "content": "[XXXXX1130]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50537": { + "content": "[XXXXX89]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50538": { + "content": "[XXXXX548]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50539": { + "content": "[XXXXX863]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50540": { + "content": "[XXXXX444]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50541": { + "content": "[XXXXX1149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50542": { + "content": "[XXXXX866]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50543": { + "content": "[XXXXX109]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50544": { + "content": "[XXXXX550]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50545": { + "content": "[XXXXX727]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50546": { + "content": "[XXXXX646]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50547": { + "content": "[XXXXX702]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50548": { + "content": "[XXXXX204]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50549": { + "content": "[XXXXX1000]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50550": { + "content": "[XXXXX591]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50551": { + "content": "[XXXXX1128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50552": { + "content": "[XXXXX937]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50553": { + "content": "[XXXXX141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50554": { + "content": "[XXXXX273]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50555": { + "content": "[XXXXX1183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50556": { + "content": "[XXXXX765]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50557": { + "content": "[XXXXX371]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50558": { + "content": "[XXXXX256]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50559": { + "content": "[XXXXX964]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50560": { + "content": "[XXXXX1148]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50561": { + "content": "[XXXXX930]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50562": { + "content": "[XXXXX212]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50563": { + "content": "[XXXXX133]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50564": { + "content": "[XXXXX608]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50565": { + "content": "[XXXXX281]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50566": { + "content": "[XXXXX1045]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50567": { + "content": "[XXXXX928]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50568": { + "content": "[XXXXX1154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50569": { + "content": "[XXXXX334]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50570": { + "content": "[XXXXX861]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50571": { + "content": "[XXXXX87]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50572": { + "content": "[XXXXX941]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50573": { + "content": "[XXXXX359]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50574": { + "content": "[XXXXX55]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50575": { + "content": "[XXXXX842]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50576": { + "content": "[XXXXX427]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50577": { + "content": "[XXXXX491]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50578": { + "content": "[XXXXX137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50579": { + "content": "[XXXXX47]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50580": { + "content": "[XXXXX511]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50581": { + "content": "[XXXXX81]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50582": { + "content": "[XXXXX139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50583": { + "content": "[XXXXX226]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50584": { + "content": "[XXXXX563]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50585": { + "content": "[XXXXX708]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50586": { + "content": "[XXXXX820]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50587": { + "content": "[XXXXX65]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50588": { + "content": "[XXXXX381]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50589": { + "content": "[XXXXX22]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50590": { + "content": "[XXXXX1064]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50591": { + "content": "[XXXXX874]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50592": { + "content": "[XXXXX944]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50593": { + "content": "[XXXXX6]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50594": { + "content": "[XXXXX313]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50595": { + "content": "[XXXXX471]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50596": { + "content": "[XXXXX1118]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50597": { + "content": "[XXXXX849]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50598": { + "content": "[XXXXX483]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50599": { + "content": "[XXXXX713]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50600": { + "content": "[XXXXX222]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50601": { + "content": "[XXXXX640]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50602": { + "content": "[XXXXX12]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50603": { + "content": "[XXXXX285]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50604": { + "content": "[XXXXX327]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50605": { + "content": "[XXXXX378]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50606": { + "content": "[XXXXX790]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50607": { + "content": "[XXXXX1179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50608": { + "content": "[XXXXX15]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50609": { + "content": "[XXXXX229]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50610": { + "content": "[XXXXX771]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50611": { + "content": "[XXXXX559]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50612": { + "content": "[XXXXX253]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50613": { + "content": "[XXXXX644]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50614": { + "content": "[XXXXX811]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50615": { + "content": "[XXXXX554]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50616": { + "content": "[XXXXX744]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50617": { + "content": "[XXXXX786]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50618": { + "content": "[XXXXX913]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50619": { + "content": "[XXXXX966]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50620": { + "content": "[XXXXX972]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50621": { + "content": "[XXXXX664]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50622": { + "content": "[XXXXX1131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50623": { + "content": "[XXXXX1132]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50624": { + "content": "[XXXXX376]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50625": { + "content": "[XXXXX672]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50626": { + "content": "[XXXXX1013]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50627": { + "content": "[XXXXX328]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50628": { + "content": "[XXXXX889]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50629": { + "content": "[XXXXX1141]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50630": { + "content": "[XXXXX429]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50631": { + "content": "[XXXXX114]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50632": { + "content": "[XXXXX523]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50633": { + "content": "[XXXXX833]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50634": { + "content": "[XXXXX927]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50635": { + "content": "[XXXXX297]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50636": { + "content": "[XXXXX812]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50637": { + "content": "[XXXXX1062]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50638": { + "content": "[XXXXX152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50639": { + "content": "[XXXXX1010]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50640": { + "content": "[XXXXX690]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50641": { + "content": "[XXXXX363]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50642": { + "content": "[XXXXX1103]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50643": { + "content": "[XXXXX194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50644": { + "content": "[XXXXX844]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50645": { + "content": "[XXXXX667]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50646": { + "content": "[XXXXX720]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50647": { + "content": "[XXXXX770]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50648": { + "content": "[XXXXX515]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50649": { + "content": "[XXXXX196]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50650": { + "content": "[XXXXX283]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50651": { + "content": "[XXXXX95]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50652": { + "content": "[XXXXX528]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50653": { + "content": "[XXXXX749]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50654": { + "content": "[XXXXX934]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50655": { + "content": "[XXXXX1052]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50656": { + "content": "[XXXXX1188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50657": { + "content": "[XXXXX1001]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50658": { + "content": "[XXXXX785]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50659": { + "content": "[XXXXX393]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50660": { + "content": "[XXXXX502]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50661": { + "content": "[XXXXX404]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50662": { + "content": "[XXXXX129]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50663": { + "content": "[XXXXX643]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50664": { + "content": "[XXXXX1086]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50665": { + "content": "[XXXXX1104]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50666": { + "content": "[XXXXX326]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50667": { + "content": "[XXXXX330]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50668": { + "content": "[XXXXX620]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50669": { + "content": "[XXXXX193]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50670": { + "content": "[XXXXX470]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50671": { + "content": "[XXXXX279]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50672": { + "content": "[XXXXX97]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50673": { + "content": "[XXXXX177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50674": { + "content": "[XXXXX510]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50675": { + "content": "[XXXXX225]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50676": { + "content": "[XXXXX572]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50677": { + "content": "[XXXXX777]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50678": { + "content": "[XXXXX1135]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50679": { + "content": "[XXXXX1160]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50680": { + "content": "[XXXXX558]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50681": { + "content": "[XXXXX416]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50682": { + "content": "[XXXXX246]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50683": { + "content": "[XXXXX799]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50684": { + "content": "[XXXXX153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50685": { + "content": "[XXXXX671]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50686": { + "content": "[XXXXX809]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50687": { + "content": "[XXXXX525]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50688": { + "content": "[XXXXX1004]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50689": { + "content": "[XXXXX1005]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50690": { + "content": "[XXXXX1194]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50691": { + "content": "[XXXXX408]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50692": { + "content": "[XXXXX492]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50693": { + "content": "[XXXXX973]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50694": { + "content": "[XXXXX242]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50695": { + "content": "[XXXXX357]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50696": { + "content": "[XXXXX851]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50697": { + "content": "[XXXXX999]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50698": { + "content": "[XXXXX969]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50699": { + "content": "[XXXXX453]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50700": { + "content": "[XXXXX730]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50701": { + "content": "[XXXXX54]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50702": { + "content": "[XXXXX480]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50703": { + "content": "[XXXXX564]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50704": { + "content": "[XXXXX600]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50705": { + "content": "[XXXXX654]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50706": { + "content": "[XXXXX37]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50707": { + "content": "[XXXXX605]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50708": { + "content": "[XXXXX164]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50709": { + "content": "[XXXXX395]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50710": { + "content": "[XXXXX401]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50711": { + "content": "[XXXXX446]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50712": { + "content": "[XXXXX658]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50713": { + "content": "[XXXXX60]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50714": { + "content": "[XXXXX107]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50715": { + "content": "[XXXXX131]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50716": { + "content": "[XXXXX387]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50717": { + "content": "[XXXXX67]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50718": { + "content": "[XXXXX743]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50719": { + "content": "[XXXXX657]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50720": { + "content": "[XXXXX418]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50721": { + "content": "[XXXXX787]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50722": { + "content": "[XXXXX838]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50723": { + "content": "[XXXXX298]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50724": { + "content": "[XXXXX1007]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50725": { + "content": "[XXXXX1027]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50726": { + "content": "[XXXXX1078]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50727": { + "content": "[XXXXX651]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50728": { + "content": "[XXXXX875]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50729": { + "content": "[XXXXX258]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50730": { + "content": "[XXXXX413]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50731": { + "content": "[XXXXX1092]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50732": { + "content": "[XXXXX124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50733": { + "content": "[XXXXX308]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50734": { + "content": "[XXXXX1085]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50735": { + "content": "[XXXXX1170]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50736": { + "content": "[XXXXX38]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50737": { + "content": "[XXXXX438]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50738": { + "content": "[XXXXX475]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50739": { + "content": "[XXXXX900]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50740": { + "content": "[XXXXX263]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50741": { + "content": "[XXXXX166]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50742": { + "content": "[XXXXX698]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50743": { + "content": "[XXXXX1127]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50744": { + "content": "[XXXXX1181]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50745": { + "content": "[XXXXX763]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50746": { + "content": "[XXXXX627]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50747": { + "content": "[XXXXX250]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50748": { + "content": "[XXXXX757]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50749": { + "content": "[XXXXX142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50750": { + "content": "[XXXXX794]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50751": { + "content": "[XXXXX128]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50752": { + "content": "[XXXXX35]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50753": { + "content": "[XXXXX482]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50754": { + "content": "[XXXXX834]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50755": { + "content": "[XXXXX679]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50756": { + "content": "[XXXXX839]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50757": { + "content": "[XXXXX138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50758": { + "content": "[XXXXX1066]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50759": { + "content": "[XXXXX116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50760": { + "content": "[XXXXX317]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50761": { + "content": "[XXXXX490]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50762": { + "content": "[XXXXX443]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50763": { + "content": "[XXXXX879]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50764": { + "content": "[XXXXX1101]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50765": { + "content": "[XXXXX711]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50766": { + "content": "[XXXXX123]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50767": { + "content": "[XXXXX1152]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50768": { + "content": "[XXXXX692]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50769": { + "content": "[XXXXX555]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50770": { + "content": "[XXXXX266]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50771": { + "content": "[XXXXX0]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50772": { + "content": "[XXXXX332]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50773": { + "content": "[XXXXX497]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50774": { + "content": "[XXXXX904]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50775": { + "content": "[XXXXX1019]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50776": { + "content": "[XXXXX709]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50777": { + "content": "[XXXXX351]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50778": { + "content": "[XXXXX764]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50779": { + "content": "[XXXXX625]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50780": { + "content": "[XXXXX798]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50781": { + "content": "[XXXXX205]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50782": { + "content": "[XXXXX922]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50783": { + "content": "[XXXXX1075]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50784": { + "content": "[XXXXX8]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50785": { + "content": "[XXXXX422]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50786": { + "content": "[XXXXX638]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50787": { + "content": "[XXXXX98]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50788": { + "content": "[XXXXX814]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50789": { + "content": "[XXXXX1057]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50790": { + "content": "[XXXXX1070]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50791": { + "content": "[XXXXX411]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50792": { + "content": "[XXXXX768]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50793": { + "content": "[XXXXX1165]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50794": { + "content": "[XXXXX888]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50795": { + "content": "[XXXXX636]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50796": { + "content": "[XXXXX1047]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50797": { + "content": "[XXXXX960]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50798": { + "content": "[XXXXX910]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50799": { + "content": "[XXXXX42]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50800": { + "content": "[XXXXX238]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50801": { + "content": "[XXXXX383]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50802": { + "content": "[XXXXX1032]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50803": { + "content": "[XXXXX577]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50804": { + "content": "[XXXXX268]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50805": { + "content": "[XXXXX179]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50806": { + "content": "[XXXXX1076]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50807": { + "content": "[XXXXX1167]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50808": { + "content": "[XXXXX1172]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50809": { + "content": "[XXXXX665]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50810": { + "content": "[XXXXX126]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50811": { + "content": "[XXXXX347]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50812": { + "content": "[XXXXX544]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50813": { + "content": "[XXXXX1026]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50814": { + "content": "[XXXXX159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50815": { + "content": "[XXXXX503]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50816": { + "content": "[XXXXX583]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50817": { + "content": "[XXXXX668]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50818": { + "content": "[XXXXX1115]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50819": { + "content": "[XXXXX112]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50820": { + "content": "[XXXXX154]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50821": { + "content": "[XXXXX761]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50822": { + "content": "[XXXXX540]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50823": { + "content": "[XXXXX755]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50824": { + "content": "[XXXXX255]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50825": { + "content": "[XXXXX459]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50826": { + "content": "[XXXXX1090]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50827": { + "content": "[XXXXX689]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50828": { + "content": "[XXXXX589]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50829": { + "content": "[XXXXX122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50830": { + "content": "[XXXXX789]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50831": { + "content": "[XXXXX481]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50832": { + "content": "[XXXXX1044]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50833": { + "content": "[XXXXX274]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50834": { + "content": "[XXXXX957]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50835": { + "content": "[XXXXX1121]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50836": { + "content": "[XXXXX464]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50837": { + "content": "[XXXXX495]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50838": { + "content": "[XXXXX1097]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50839": { + "content": "[XXXXX581]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50840": { + "content": "[XXXXX200]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50841": { + "content": "[XXXXX954]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50842": { + "content": "[XXXXX48]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50843": { + "content": "[XXXXX855]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50844": { + "content": "[XXXXX419]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50845": { + "content": "[XXXXX919]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50846": { + "content": "[XXXXX451]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50847": { + "content": "[XXXXX869]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50848": { + "content": "[XXXXX1082]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50849": { + "content": "[XXXXX1185]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50850": { + "content": "[XXXXX859]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50851": { + "content": "[XXXXX1139]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50852": { + "content": "[XXXXX1072]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50853": { + "content": "[XXXXX220]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50854": { + "content": "[XXXXX465]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50855": { + "content": "[XXXXX1105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50856": { + "content": "[XXXXX1093]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50857": { + "content": "[XXXXX953]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50858": { + "content": "[XXXXX1187]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50859": { + "content": "[XXXXX311]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50860": { + "content": "[XXXXX403]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50861": { + "content": "[XXXXX684]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50862": { + "content": "[XXXXX426]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50863": { + "content": "[XXXXX68]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50864": { + "content": "[XXXXX277]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50865": { + "content": "[XXXXX437]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50866": { + "content": "[XXXXX896]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50867": { + "content": "[XXXXX899]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50868": { + "content": "[XXXXX878]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50869": { + "content": "[XXXXX1073]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50870": { + "content": "[XXXXX774]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50871": { + "content": "[XXXXX315]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50872": { + "content": "[XXXXX631]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50873": { + "content": "[XXXXX223]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50874": { + "content": "[XXXXX86]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50875": { + "content": "[XXXXX607]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50876": { + "content": "[XXXXX149]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50877": { + "content": "[XXXXX566]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50878": { + "content": "[XXXXX740]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50879": { + "content": "[XXXXX265]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50880": { + "content": "[XXXXX399]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50881": { + "content": "[XXXXX1053]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50882": { + "content": "[XXXXX1077]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50883": { + "content": "[XXXXX336]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50884": { + "content": "[XXXXX734]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50885": { + "content": "[XXXXX289]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50886": { + "content": "[XXXXX221]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50887": { + "content": "[XXXXX580]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50888": { + "content": "[XXXXX406]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50889": { + "content": "[XXXXX854]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50890": { + "content": "[XXXXX673]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50891": { + "content": "[XXXXX1146]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50892": { + "content": "[XXXXX29]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50893": { + "content": "[XXXXX496]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50894": { + "content": "[XXXXX241]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50895": { + "content": "[XXXXX929]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50896": { + "content": "[XXXXX169]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50897": { + "content": "[XXXXX1153]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50898": { + "content": "[XXXXX440]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50899": { + "content": "[XXXXX385]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50900": { + "content": "[XXXXX499]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50901": { + "content": "[XXXXX718]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50902": { + "content": "[XXXXX848]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50903": { + "content": "[XXXXX877]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50904": { + "content": "[XXXXX641]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50905": { + "content": "[XXXXX1137]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50906": { + "content": "[XXXXX269]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50907": { + "content": "[XXXXX521]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50908": { + "content": "[XXXXX234]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50909": { + "content": "[XXXXX987]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50910": { + "content": "[XXXXX741]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50911": { + "content": "[XXXXX349]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50912": { + "content": "[XXXXX93]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50913": { + "content": "[XXXXX247]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50914": { + "content": "[XXXXX961]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50915": { + "content": "[XXXXX1120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50916": { + "content": "[XXXXX369]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50917": { + "content": "[XXXXX479]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50918": { + "content": "[XXXXX892]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50919": { + "content": "[XXXXX553]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50920": { + "content": "[XXXXX906]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50921": { + "content": "[XXXXX571]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50922": { + "content": "[XXXXX1046]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50923": { + "content": "[XXXXX206]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50924": { + "content": "[XXXXX488]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50925": { + "content": "[XXXXX445]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50926": { + "content": "[XXXXX524]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50927": { + "content": "[XXXXX228]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50928": { + "content": "[XXXXX998]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50929": { + "content": "[XXXXX675]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50930": { + "content": "[XXXXX732]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50931": { + "content": "[XXXXX1028]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50932": { + "content": "[XXXXX494]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50933": { + "content": "[XXXXX965]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50934": { + "content": "[XXXXX1021]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50935": { + "content": "[XXXXX726]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50936": { + "content": "[XXXXX168]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50937": { + "content": "[XXXXX606]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50938": { + "content": "[XXXXX974]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50939": { + "content": "[XXXXX504]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50940": { + "content": "[XXXXX556]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50941": { + "content": "[XXXXX1159]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50942": { + "content": "[XXXXX417]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50943": { + "content": "[XXXXX1175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50944": { + "content": "[XXXXX1142]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50945": { + "content": "[XXXXX753]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50946": { + "content": "[XXXXX824]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50947": { + "content": "[XXXXX251]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50948": { + "content": "[XXXXX345]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50949": { + "content": "[XXXXX610]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50950": { + "content": "[XXXXX276]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50951": { + "content": "[XXXXX783]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50952": { + "content": "[XXXXX74]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50953": { + "content": "[XXXXX1050]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50954": { + "content": "[XXXXX71]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50955": { + "content": "[XXXXX360]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50956": { + "content": "[XXXXX512]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50957": { + "content": "[XXXXX341]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50958": { + "content": "[XXXXX375]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50959": { + "content": "[XXXXX637]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50960": { + "content": "[XXXXX1116]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50961": { + "content": "[XXXXX9]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50962": { + "content": "[XXXXX738]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50963": { + "content": "[XXXXX856]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50964": { + "content": "[XXXXX979]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50965": { + "content": "[XXXXX825]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50966": { + "content": "[XXXXX852]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50967": { + "content": "[XXXXX215]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50968": { + "content": "[XXXXX91]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50969": { + "content": "[XXXXX257]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50970": { + "content": "[XXXXX325]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50971": { + "content": "[XXXXX368]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50972": { + "content": "[XXXXX1124]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50973": { + "content": "[XXXXX188]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50974": { + "content": "[XXXXX905]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50975": { + "content": "[XXXXX284]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50976": { + "content": "[XXXXX11]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50977": { + "content": "[XXXXX83]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50978": { + "content": "[XXXXX611]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50979": { + "content": "[XXXXX51]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50980": { + "content": "[XXXXX99]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50981": { + "content": "[XXXXX288]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50982": { + "content": "[XXXXX945]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50983": { + "content": "[XXXXX975]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50984": { + "content": "[XXXXX282]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50985": { + "content": "[XXXXX1068]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50986": { + "content": "[XXXXX1180]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50987": { + "content": "[XXXXX574]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50988": { + "content": "[XXXXX305]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50989": { + "content": "[XXXXX565]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50990": { + "content": "[XXXXX865]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50991": { + "content": "[XXXXX1014]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50992": { + "content": "[XXXXX1138]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50993": { + "content": "[XXXXX134]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50994": { + "content": "[XXXXX321]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50995": { + "content": "[XXXXX752]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50996": { + "content": "[XXXXX108]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50997": { + "content": "[XXXXX339]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50998": { + "content": "[XXXXX893]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "50999": { + "content": "[XXXXX1177]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51000": { + "content": "[XXXXX988]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51001": { + "content": "[XXXXX719]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51002": { + "content": "[XXXXX1059]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51003": { + "content": "[XXXXX421]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51004": { + "content": "[XXXXX670]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51005": { + "content": "[XXXXX949]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51006": { + "content": "[XXXXX14]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51007": { + "content": "[XXXXX1087]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51008": { + "content": "[XXXXX382]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51009": { + "content": "[XXXXX531]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51010": { + "content": "[XXXXX1079]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51011": { + "content": "[XXXXX1067]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51012": { + "content": "[XXXXX655]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51013": { + "content": "[XXXXX340]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51014": { + "content": "[XXXXX398]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51015": { + "content": "[XXXXX175]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51016": { + "content": "[XXXXX232]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51017": { + "content": "[XXXXX244]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51018": { + "content": "[XXXXX568]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51019": { + "content": "[XXXXX1110]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51020": { + "content": "[XXXXX191]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51021": { + "content": "[XXXXX931]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51022": { + "content": "[XXXXX832]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51023": { + "content": "[XXXXX1030]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51024": { + "content": "[XXXXX144]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51025": { + "content": "[XXXXX1102]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51026": { + "content": "[XXXXX300]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51027": { + "content": "[XXXXX996]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51028": { + "content": "[XXXXX248]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51029": { + "content": "[XXXXX66]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51030": { + "content": "[XXXXX735]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51031": { + "content": "[XXXXX20]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51032": { + "content": "[XXXXX694]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51033": { + "content": "[XXXXX845]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51034": { + "content": "[XXXXX500]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51035": { + "content": "[XXXXX613]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51036": { + "content": "[XXXXX117]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51037": { + "content": "[XXXXX886]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51038": { + "content": "[XXXXX261]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51039": { + "content": "[XXXXX567]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51040": { + "content": "[XXXXX541]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51041": { + "content": "[XXXXX529]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51042": { + "content": "[XXXXX699]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51043": { + "content": "[XXXXX715]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51044": { + "content": "[XXXXX1003]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51045": { + "content": "[XXXXX518]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51046": { + "content": "[XXXXX891]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51047": { + "content": "[XXXXX192]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51048": { + "content": "[XXXXX53]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51049": { + "content": "[XXXXX428]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51050": { + "content": "[XXXXX183]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51051": { + "content": "[XXXXX850]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51052": { + "content": "[XXXXX539]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51053": { + "content": "[XXXXX527]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51054": { + "content": "[XXXXX660]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51055": { + "content": "[XXXXX409]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51056": { + "content": "[XXXXX1122]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51057": { + "content": "[XXXXX898]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51058": { + "content": "[XXXXX858]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51059": { + "content": "[XXXXX534]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51060": { + "content": "[XXXXX756]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51061": { + "content": "[XXXXX63]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51062": { + "content": "[XXXXX49]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51063": { + "content": "[XXXXX1106]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51064": { + "content": "[XXXXX111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51065": { + "content": "[XXXXX955]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51066": { + "content": "[XXXXX309]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51067": { + "content": "[XXXXX538]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51068": { + "content": "[XXXXX823]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51069": { + "content": "[XXXXX867]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51070": { + "content": "[XXXXX587]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51071": { + "content": "[XXXXX243]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51072": { + "content": "[XXXXX677]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51073": { + "content": "[XXXXX1017]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51074": { + "content": "[XXXXX173]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51075": { + "content": "[XXXXX682]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51076": { + "content": "[XXXXX1184]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51077": { + "content": "[XXXXX1009]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51078": { + "content": "[XXXXX704]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51079": { + "content": "[XXXXX532]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51080": { + "content": "[XXXXX901]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51081": { + "content": "[XXXXX120]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51082": { + "content": "[XXXXX388]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51083": { + "content": "[XXXXX405]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51084": { + "content": "[XXXXX788]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51085": { + "content": "[XXXXX728]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51086": { + "content": "[XXXXX425]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51087": { + "content": "[XXXXX883]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51088": { + "content": "[XXXXX837]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51089": { + "content": "[XXXXX350]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51090": { + "content": "[XXXXX716]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51091": { + "content": "[XXXXX579]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51092": { + "content": "[XXXXX909]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51093": { + "content": "[XXXXX884]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51094": { + "content": "[XXXXX1011]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51095": { + "content": "[XXXXX372]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51096": { + "content": "[XXXXX370]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51097": { + "content": "[XXXXX468]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51098": { + "content": "[XXXXX688]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51099": { + "content": "[XXXXX56]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51100": { + "content": "[XXXXX653]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51101": { + "content": "[XXXXX623]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51102": { + "content": "[XXXXX552]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51103": { + "content": "[XXXXX314]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51104": { + "content": "[XXXXX1018]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51105": { + "content": "[XXXXX1091]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51106": { + "content": "[XXXXX342]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51107": { + "content": "[XXXXX1065]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51108": { + "content": "[XXXXX1161]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51109": { + "content": "[XXXXX959]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51110": { + "content": "[XXXXX1035]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51111": { + "content": "[XXXXX530]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51112": { + "content": "[XXXXX69]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51113": { + "content": "[XXXXX489]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51114": { + "content": "[XXXXX1]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51115": { + "content": "[XXXXX207]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51116": { + "content": "[XXXXX433]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51117": { + "content": "[XXXXX358]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51118": { + "content": "[XXXXX601]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51119": { + "content": "[XXXXX2]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51120": { + "content": "[XXXXX722]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51121": { + "content": "[XXXXX985]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51122": { + "content": "[XXXXX908]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51123": { + "content": "[XXXXX1024]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51124": { + "content": "[XXXXX1111]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51125": { + "content": "[XXXXX1113]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51126": { + "content": "[XXXXX678]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51127": { + "content": "[XXXXX19]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51128": { + "content": "[XXXXX1186]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51129": { + "content": "[XXXXX808]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51130": { + "content": "[XXXXX493]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51131": { + "content": "[XXXXX1155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51132": { + "content": "[XXXXX217]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51133": { + "content": "[XXXXX616]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51134": { + "content": "[XXXXX835]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51135": { + "content": "[XXXXX994]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51136": { + "content": "[XXXXX484]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51137": { + "content": "[XXXXX362]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51138": { + "content": "[XXXXX582]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51139": { + "content": "[XXXXX1034]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51140": { + "content": "[XXXXX772]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51141": { + "content": "[XXXXX457]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51142": { + "content": "[XXXXX604]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51143": { + "content": "[XXXXX456]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51144": { + "content": "[XXXXX145]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51145": { + "content": "[XXXXX476]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51146": { + "content": "[XXXXX218]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51147": { + "content": "[XXXXX199]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51148": { + "content": "[XXXXX364]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51149": { + "content": "[XXXXX302]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51150": { + "content": "[XXXXX881]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51151": { + "content": "[XXXXX1088]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51152": { + "content": "[XXXXX356]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51153": { + "content": "[XXXXX936]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51154": { + "content": "[XXXXX978]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51155": { + "content": "[XXXXX895]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51156": { + "content": "[XXXXX993]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51157": { + "content": "[XXXXX458]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51158": { + "content": "[XXXXX1002]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51159": { + "content": "[XXXXX1022]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51160": { + "content": "[XXXXX25]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51161": { + "content": "[XXXXX766]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51162": { + "content": "[XXXXX64]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51163": { + "content": "[XXXXX211]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51164": { + "content": "[XXXXX82]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51165": { + "content": "[XXXXX634]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51166": { + "content": "[XXXXX661]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51167": { + "content": "[XXXXX748]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51168": { + "content": "[XXXXX778]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51169": { + "content": "[XXXXX24]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51170": { + "content": "[XXXXX448]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51171": { + "content": "[XXXXX887]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51172": { + "content": "[XXXXX890]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51173": { + "content": "[XXXXX754]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51174": { + "content": "[XXXXX343]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51175": { + "content": "[XXXXX1069]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51176": { + "content": "[XXXXX294]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51177": { + "content": "[XXXXX295]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51178": { + "content": "[XXXXX197]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51179": { + "content": "[XXXXX210]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51180": { + "content": "[XXXXX630]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51181": { + "content": "[XXXXX707]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51182": { + "content": "[XXXXX864]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51183": { + "content": "[XXXXX391]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51184": { + "content": "[XXXXX338]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51185": { + "content": "[XXXXX800]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51186": { + "content": "[XXXXX841]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51187": { + "content": "[XXXXX967]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51188": { + "content": "[XXXXX793]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51189": { + "content": "[XXXXX916]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51190": { + "content": "[XXXXX603]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51191": { + "content": "[XXXXX270]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51192": { + "content": "[XXXXX105]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51193": { + "content": "[XXXXX1016]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51194": { + "content": "[XXXXX804]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51195": { + "content": "[XXXXX264]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51196": { + "content": "[XXXXX155]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51197": { + "content": "[XXXXX1190]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51198": { + "content": "[XXXXX813]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "51199": { + "content": "[XXXXX546]", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "additional_special_tokens": [ + "[XXXXX160]", + "[XXXXX240]", + "[XXXXX717]", + "[XXXXX23]", + "[XXXXX161]", + "[XXXXX1156]", + "[XXXXX5]", + "[XXXXX597]", + "[XXXXX415]", + "[XXXXX693]", + "[XXXXX1083]", + "[XXXXX784]", + "[XXXXX686]", + "[XXXXX379]", + "[XXXXX335]", + "[XXXXX73]", + "[XXXXX758]", + "[XXXXX805]", + "[XXXXX840]", + "[XXXXX1037]", + "[XXXXX235]", + "[XXXXX1107]", + "[XXXXX776]", + "[XXXXX286]", + "[XXXXX396]", + "[XXXXX478]", + "[XXXXX669]", + "[XXXXX691]", + "[XXXXX826]", + "[XXXXX1150]", + "[XXXXX853]", + "[XXXXX130]", + "[XXXXX989]", + "[XXXXX249]", + "[XXXXX902]", + "[XXXXX1169]", + "[XXXXX260]", + "[XXXXX706]", + "[XXXXX146]", + "[XXXXX198]", + "[XXXXX303]", + "[XXXXX1192]", + "[XXXXX635]", + "[XXXXX271]", + "[XXXXX1023]", + "[XXXXX602]", + "[XXXXX291]", + "[XXXXX190]", + "[XXXXX1055]", + "[XXXXX70]", + "[XXXXX178]", + "[XXXXX318]", + "[XXXXX62]", + "[XXXXX473]", + "[XXXXX517]", + "[XXXXX924]", + "[XXXXX970]", + "[XXXXX1033]", + "[XXXXX110]", + "[XXXXX1151]", + "[XXXXX1189]", + "[XXXXX1095]", + "[XXXXX148]", + "[XXXXX337]", + "[XXXXX245]", + "[XXXXX407]", + "[XXXXX557]", + "[XXXXX576]", + "[XXXXX914]", + "[XXXXX963]", + "[XXXXX951]", + "[XXXXX721]", + "[XXXXX1174]", + "[XXXXX3]", + "[XXXXX792]", + "[XXXXX843]", + "[XXXXX590]", + "[XXXXX118]", + "[XXXXX280]", + "[XXXXX1119]", + "[XXXXX1025]", + "[XXXXX140]", + "[XXXXX873]", + "[XXXXX103]", + "[XXXXX307]", + "[XXXXX946]", + "[XXXXX782]", + "[XXXXX100]", + "[XXXXX485]", + "[XXXXX151]", + "[XXXXX213]", + "[XXXXX847]", + "[XXXXX880]", + "[XXXXX44]", + "[XXXXX1031]", + "[XXXXX545]", + "[XXXXX78]", + "[XXXXX687]", + "[XXXXX925]", + "[XXXXX519]", + "[XXXXX1191]", + "[XXXXX13]", + "[XXXXX487]", + "[XXXXX932]", + "[XXXXX119]", + "[XXXXX170]", + "[XXXXX254]", + "[XXXXX420]", + "[XXXXX962]", + "[XXXXX441]", + "[XXXXX950]", + "[XXXXX18]", + "[XXXXX676]", + "[XXXXX1133]", + "[XXXXX618]", + "[XXXXX374]", + "[XXXXX815]", + "[XXXXX1058]", + "[XXXXX1108]", + "[XXXXX1144]", + "[XXXXX791]", + "[XXXXX259]", + "[XXXXX1074]", + "[XXXXX696]", + "[XXXXX1168]", + "[XXXXX592]", + "[XXXXX127]", + "[XXXXX136]", + "[XXXXX237]", + "[XXXXX705]", + "[XXXXX983]", + "[XXXXX816]", + "[XXXXX412]", + "[XXXXX410]", + "[XXXXX795]", + "[XXXXX101]", + "[XXXXX171]", + "[XXXXX628]", + "[XXXXX1038]", + "[XXXXX447]", + "[XXXXX1043]", + "[XXXXX147]", + "[XXXXX1112]", + "[XXXXX186]", + "[XXXXX461]", + "[XXXXX423]", + "[XXXXX26]", + "[XXXXX227]", + "[XXXXX746]", + "[XXXXX818]", + "[XXXXX725]", + "[XXXXX400]", + "[XXXXX827]", + "[XXXXX1020]", + "[XXXXX1060]", + "[XXXXX195]", + "[XXXXX526]", + "[XXXXX570]", + "[XXXXX174]", + "[XXXXX333]", + "[XXXXX466]", + "[XXXXX513]", + "[XXXXX695]", + "[XXXXX84]", + "[XXXXX1080]", + "[XXXXX76]", + "[XXXXX742]", + "[XXXXX1008]", + "[XXXXX1123]", + "[XXXXX1145]", + "[XXXXX701]", + "[XXXXX562]", + "[XXXXX615]", + "[XXXXX389]", + "[XXXXX267]", + "[XXXXX323]", + "[XXXXX346]", + "[XXXXX287]", + "[XXXXX469]", + "[XXXXX58]", + "[XXXXX431]", + "[XXXXX926]", + "[XXXXX1182]", + "[XXXXX992]", + "[XXXXX185]", + "[XXXXX352]", + "[XXXXX762]", + "[XXXXX991]", + "[XXXXX85]", + "[XXXXX836]", + "[XXXXX460]", + "[XXXXX272]", + "[XXXXX619]", + "[XXXXX759]", + "[XXXXX94]", + "[XXXXX807]", + "[XXXXX299]", + "[XXXXX187]", + "[XXXXX486]", + "[XXXXX45]", + "[XXXXX1036]", + "[XXXXX354]", + "[XXXXX386]", + "[XXXXX714]", + "[XXXXX769]", + "[XXXXX304]", + "[XXXXX92]", + "[XXXXX7]", + "[XXXXX31]", + "[XXXXX102]", + "[XXXXX163]", + "[XXXXX723]", + "[XXXXX1042]", + "[XXXXX452]", + "[XXXXX622]", + "[XXXXX1056]", + "[XXXXX822]", + "[XXXXX125]", + "[XXXXX617]", + "[XXXXX34]", + "[XXXXX712]", + "[XXXXX780]", + "[XXXXX547]", + "[XXXXX857]", + "[XXXXX860]", + "[XXXXX897]", + "[XXXXX663]", + "[XXXXX736]", + "[XXXXX202]", + "[XXXXX1029]", + "[XXXXX956]", + "[XXXXX397]", + "[XXXXX239]", + "[XXXXX472]", + "[XXXXX230]", + "[XXXXX796]", + "[XXXXX639]", + "[XXXXX203]", + "[XXXXX231]", + "[XXXXX652]", + "[XXXXX981]", + "[XXXXX911]", + "[XXXXX380]", + "[XXXXX477]", + "[XXXXX952]", + "[XXXXX28]", + "[XXXXX801]", + "[XXXXX1134]", + "[XXXXX1176]", + "[XXXXX180]", + "[XXXXX598]", + "[XXXXX365]", + "[XXXXX729]", + "[XXXXX214]", + "[XXXXX1117]", + "[XXXXX278]", + "[XXXXX522]", + "[XXXXX683]", + "[XXXXX731]", + "[XXXXX312]", + "[XXXXX1178]", + "[XXXXX666]", + "[XXXXX982]", + "[XXXXX414]", + "[XXXXX935]", + "[XXXXX1089]", + "[XXXXX236]", + "[XXXXX463]", + "[XXXXX52]", + "[XXXXX593]", + "[XXXXX508]", + "[XXXXX1125]", + "[XXXXX462]", + "[XXXXX32]", + "[XXXXX596]", + "[XXXXX948]", + "[XXXXX150]", + "[XXXXX322]", + "[XXXXX390]", + "[XXXXX918]", + "[XXXXX157]", + "[XXXXX310]", + "[XXXXX392]", + "[XXXXX649]", + "[XXXXX158]", + "[XXXXX430]", + "[XXXXX384]", + "[XXXXX760]", + "[XXXXX700]", + "[XXXXX817]", + "[XXXXX115]", + "[XXXXX885]", + "[XXXXX940]", + "[XXXXX997]", + "[XXXXX61]", + "[XXXXX209]", + "[XXXXX316]", + "[XXXXX537]", + "[XXXXX599]", + "[XXXXX680]", + "[XXXXX135]", + "[XXXXX39]", + "[XXXXX685]", + "[XXXXX806]", + "[XXXXX870]", + "[XXXXX1096]", + "[XXXXX366]", + "[XXXXX509]", + "[XXXXX943]", + "[XXXXX292]", + "[XXXXX367]", + "[XXXXX632]", + "[XXXXX1136]", + "[XXXXX156]", + "[XXXXX1100]", + "[XXXXX432]", + "[XXXXX514]", + "[XXXXX903]", + "[XXXXX939]", + "[XXXXX986]", + "[XXXXX506]", + "[XXXXX10]", + "[XXXXX573]", + "[XXXXX968]", + "[XXXXX1039]", + "[XXXXX252]", + "[XXXXX612]", + "[XXXXX947]", + "[XXXXX1162]", + "[XXXXX733]", + "[XXXXX976]", + "[XXXXX535]", + "[XXXXX710]", + "[XXXXX40]", + "[XXXXX984]", + "[XXXXX584]", + "[XXXXX132]", + "[XXXXX1084]", + "[XXXXX549]", + "[XXXXX810]", + "[XXXXX208]", + "[XXXXX609]", + "[XXXXX275]", + "[XXXXX262]", + "[XXXXX331]", + "[XXXXX361]", + "[XXXXX561]", + "[XXXXX143]", + "[XXXXX1061]", + "[XXXXX59]", + "[XXXXX21]", + "[XXXXX995]", + "[XXXXX439]", + "[XXXXX831]", + "[XXXXX745]", + "[XXXXX43]", + "[XXXXX498]", + "[XXXXX575]", + "[XXXXX624]", + "[XXXXX72]", + "[XXXXX921]", + "[XXXXX201]", + "[XXXXX1171]", + "[XXXXX912]", + "[XXXXX775]", + "[XXXXX1094]", + "[XXXXX80]", + "[XXXXX894]", + "[XXXXX876]", + "[XXXXX1143]", + "[XXXXX355]", + "[XXXXX450]", + "[XXXXX642]", + "[XXXXX162]", + "[XXXXX394]", + "[XXXXX296]", + "[XXXXX536]", + "[XXXXX560]", + "[XXXXX373]", + "[XXXXX674]", + "[XXXXX1099]", + "[XXXXX797]", + "[XXXXX516]", + "[XXXXX41]", + "[XXXXX594]", + "[XXXXX319]", + "[XXXXX165]", + "[XXXXX344]", + "[XXXXX1012]", + "[XXXXX942]", + "[XXXXX1071]", + "[XXXXX648]", + "[XXXXX4]", + "[XXXXX633]", + "[XXXXX551]", + "[XXXXX586]", + "[XXXXX578]", + "[XXXXX348]", + "[XXXXX614]", + "[XXXXX33]", + "[XXXXX1193]", + "[XXXXX737]", + "[XXXXX233]", + "[XXXXX933]", + "[XXXXX781]", + "[XXXXX189]", + "[XXXXX1006]", + "[XXXXX219]", + "[XXXXX454]", + "[XXXXX449]", + "[XXXXX697]", + "[XXXXX724]", + "[XXXXX224]", + "[XXXXX1157]", + "[XXXXX455]", + "[XXXXX505]", + "[XXXXX96]", + "[XXXXX182]", + "[XXXXX424]", + "[XXXXX872]", + "[XXXXX1163]", + "[XXXXX1081]", + "[XXXXX1173]", + "[XXXXX172]", + "[XXXXX507]", + "[XXXXX920]", + "[XXXXX1126]", + "[XXXXX474]", + "[XXXXX971]", + "[XXXXX1049]", + "[XXXXX1114]", + "[XXXXX1040]", + "[XXXXX79]", + "[XXXXX36]", + "[XXXXX977]", + "[XXXXX1129]", + "[XXXXX1063]", + "[XXXXX773]", + "[XXXXX16]", + "[XXXXX113]", + "[XXXXX320]", + "[XXXXX167]", + "[XXXXX751]", + "[XXXXX656]", + "[XXXXX543]", + "[XXXXX828]", + "[XXXXX915]", + "[XXXXX1098]", + "[XXXXX569]", + "[XXXXX1166]", + "[XXXXX846]", + "[XXXXX324]", + "[XXXXX802]", + "[XXXXX588]", + "[XXXXX739]", + "[XXXXX50]", + "[XXXXX882]", + "[XXXXX1054]", + "[XXXXX621]", + "[XXXXX585]", + "[XXXXX121]", + "[XXXXX647]", + "[XXXXX767]", + "[XXXXX645]", + "[XXXXX27]", + "[XXXXX907]", + "[XXXXX1109]", + "[XXXXX1147]", + "[XXXXX501]", + "[XXXXX1164]", + "[XXXXX650]", + "[XXXXX329]", + "[XXXXX659]", + "[XXXXX1158]", + "[XXXXX104]", + "[XXXXX629]", + "[XXXXX868]", + "[XXXXX779]", + "[XXXXX17]", + "[XXXXX377]", + "[XXXXX467]", + "[XXXXX917]", + "[XXXXX830]", + "[XXXXX533]", + "[XXXXX862]", + "[XXXXX1041]", + "[XXXXX542]", + "[XXXXX595]", + "[XXXXX353]", + "[XXXXX181]", + "[XXXXX662]", + "[XXXXX1195]", + "[XXXXX435]", + "[XXXXX1051]", + "[XXXXX703]", + "[XXXXX1140]", + "[XXXXX750]", + "[XXXXX57]", + "[XXXXX75]", + "[XXXXX293]", + "[XXXXX681]", + "[XXXXX46]", + "[XXXXX30]", + "[XXXXX402]", + "[XXXXX803]", + "[XXXXX821]", + "[XXXXX871]", + "[XXXXX980]", + "[XXXXX990]", + "[XXXXX626]", + "[XXXXX90]", + "[XXXXX77]", + "[XXXXX819]", + "[XXXXX436]", + "[XXXXX306]", + "[XXXXX434]", + "[XXXXX88]", + "[XXXXX184]", + "[XXXXX290]", + "[XXXXX216]", + "[XXXXX176]", + "[XXXXX747]", + "[XXXXX938]", + "[XXXXX442]", + "[XXXXX301]", + "[XXXXX1015]", + "[XXXXX520]", + "[XXXXX829]", + "[XXXXX106]", + "[XXXXX1048]", + "[XXXXX923]", + "[XXXXX958]", + "[XXXXX1130]", + "[XXXXX89]", + "[XXXXX548]", + "[XXXXX863]", + "[XXXXX444]", + "[XXXXX1149]", + "[XXXXX866]", + "[XXXXX109]", + "[XXXXX550]", + "[XXXXX727]", + "[XXXXX646]", + "[XXXXX702]", + "[XXXXX204]", + "[XXXXX1000]", + "[XXXXX591]", + "[XXXXX1128]", + "[XXXXX937]", + "[XXXXX141]", + "[XXXXX273]", + "[XXXXX1183]", + "[XXXXX765]", + "[XXXXX371]", + "[XXXXX256]", + "[XXXXX964]", + "[XXXXX1148]", + "[XXXXX930]", + "[XXXXX212]", + "[XXXXX133]", + "[XXXXX608]", + "[XXXXX281]", + "[XXXXX1045]", + "[XXXXX928]", + "[XXXXX1154]", + "[XXXXX334]", + "[XXXXX861]", + "[XXXXX87]", + "[XXXXX941]", + "[XXXXX359]", + "[XXXXX55]", + "[XXXXX842]", + "[XXXXX427]", + "[XXXXX491]", + "[XXXXX137]", + "[XXXXX47]", + "[XXXXX511]", + "[XXXXX81]", + "[XXXXX139]", + "[XXXXX226]", + "[XXXXX563]", + "[XXXXX708]", + "[XXXXX820]", + "[XXXXX65]", + "[XXXXX381]", + "[XXXXX22]", + "[XXXXX1064]", + "[XXXXX874]", + "[XXXXX944]", + "[XXXXX6]", + "[XXXXX313]", + "[XXXXX471]", + "[XXXXX1118]", + "[XXXXX849]", + "[XXXXX483]", + "[XXXXX713]", + "[XXXXX222]", + "[XXXXX640]", + "[XXXXX12]", + "[XXXXX285]", + "[XXXXX327]", + "[XXXXX378]", + "[XXXXX790]", + "[XXXXX1179]", + "[XXXXX15]", + "[XXXXX229]", + "[XXXXX771]", + "[XXXXX559]", + "[XXXXX253]", + "[XXXXX644]", + "[XXXXX811]", + "[XXXXX554]", + "[XXXXX744]", + "[XXXXX786]", + "[XXXXX913]", + "[XXXXX966]", + "[XXXXX972]", + "[XXXXX664]", + "[XXXXX1131]", + "[XXXXX1132]", + "[XXXXX376]", + "[XXXXX672]", + "[XXXXX1013]", + "[XXXXX328]", + "[XXXXX889]", + "[XXXXX1141]", + "[XXXXX429]", + "[XXXXX114]", + "[XXXXX523]", + "[XXXXX833]", + "[XXXXX927]", + "[XXXXX297]", + "[XXXXX812]", + "[XXXXX1062]", + "[XXXXX152]", + "[XXXXX1010]", + "[XXXXX690]", + "[XXXXX363]", + "[XXXXX1103]", + "[XXXXX194]", + "[XXXXX844]", + "[XXXXX667]", + "[XXXXX720]", + "[XXXXX770]", + "[XXXXX515]", + "[XXXXX196]", + "[XXXXX283]", + "[XXXXX95]", + "[XXXXX528]", + "[XXXXX749]", + "[XXXXX934]", + "[XXXXX1052]", + "[XXXXX1188]", + "[XXXXX1001]", + "[XXXXX785]", + "[XXXXX393]", + "[XXXXX502]", + "[XXXXX404]", + "[XXXXX129]", + "[XXXXX643]", + "[XXXXX1086]", + "[XXXXX1104]", + "[XXXXX326]", + "[XXXXX330]", + "[XXXXX620]", + "[XXXXX193]", + "[XXXXX470]", + "[XXXXX279]", + "[XXXXX97]", + "[XXXXX177]", + "[XXXXX510]", + "[XXXXX225]", + "[XXXXX572]", + "[XXXXX777]", + "[XXXXX1135]", + "[XXXXX1160]", + "[XXXXX558]", + "[XXXXX416]", + "[XXXXX246]", + "[XXXXX799]", + "[XXXXX153]", + "[XXXXX671]", + "[XXXXX809]", + "[XXXXX525]", + "[XXXXX1004]", + "[XXXXX1005]", + "[XXXXX1194]", + "[XXXXX408]", + "[XXXXX492]", + "[XXXXX973]", + "[XXXXX242]", + "[XXXXX357]", + "[XXXXX851]", + "[XXXXX999]", + "[XXXXX969]", + "[XXXXX453]", + "[XXXXX730]", + "[XXXXX54]", + "[XXXXX480]", + "[XXXXX564]", + "[XXXXX600]", + "[XXXXX654]", + "[XXXXX37]", + "[XXXXX605]", + "[XXXXX164]", + "[XXXXX395]", + "[XXXXX401]", + "[XXXXX446]", + "[XXXXX658]", + "[XXXXX60]", + "[XXXXX107]", + "[XXXXX131]", + "[XXXXX387]", + "[XXXXX67]", + "[XXXXX743]", + "[XXXXX657]", + "[XXXXX418]", + "[XXXXX787]", + "[XXXXX838]", + "[XXXXX298]", + "[XXXXX1007]", + "[XXXXX1027]", + "[XXXXX1078]", + "[XXXXX651]", + "[XXXXX875]", + "[XXXXX258]", + "[XXXXX413]", + "[XXXXX1092]", + "[XXXXX124]", + "[XXXXX308]", + "[XXXXX1085]", + "[XXXXX1170]", + "[XXXXX38]", + "[XXXXX438]", + "[XXXXX475]", + "[XXXXX900]", + "[XXXXX263]", + "[XXXXX166]", + "[XXXXX698]", + "[XXXXX1127]", + "[XXXXX1181]", + "[XXXXX763]", + "[XXXXX627]", + "[XXXXX250]", + "[XXXXX757]", + "[XXXXX142]", + "[XXXXX794]", + "[XXXXX128]", + "[XXXXX35]", + "[XXXXX482]", + "[XXXXX834]", + "[XXXXX679]", + "[XXXXX839]", + "[XXXXX138]", + "[XXXXX1066]", + "[XXXXX116]", + "[XXXXX317]", + "[XXXXX490]", + "[XXXXX443]", + "[XXXXX879]", + "[XXXXX1101]", + "[XXXXX711]", + "[XXXXX123]", + "[XXXXX1152]", + "[XXXXX692]", + "[XXXXX555]", + "[XXXXX266]", + "[XXXXX0]", + "[XXXXX332]", + "[XXXXX497]", + "[XXXXX904]", + "[XXXXX1019]", + "[XXXXX709]", + "[XXXXX351]", + "[XXXXX764]", + "[XXXXX625]", + "[XXXXX798]", + "[XXXXX205]", + "[XXXXX922]", + "[XXXXX1075]", + "[XXXXX8]", + "[XXXXX422]", + "[XXXXX638]", + "[XXXXX98]", + "[XXXXX814]", + "[XXXXX1057]", + "[XXXXX1070]", + "[XXXXX411]", + "[XXXXX768]", + "[XXXXX1165]", + "[XXXXX888]", + "[XXXXX636]", + "[XXXXX1047]", + "[XXXXX960]", + "[XXXXX910]", + "[XXXXX42]", + "[XXXXX238]", + "[XXXXX383]", + "[XXXXX1032]", + "[XXXXX577]", + "[XXXXX268]", + "[XXXXX179]", + "[XXXXX1076]", + "[XXXXX1167]", + "[XXXXX1172]", + "[XXXXX665]", + "[XXXXX126]", + "[XXXXX347]", + "[XXXXX544]", + "[XXXXX1026]", + "[XXXXX159]", + "[XXXXX503]", + "[XXXXX583]", + "[XXXXX668]", + "[XXXXX1115]", + "[XXXXX112]", + "[XXXXX154]", + "[XXXXX761]", + "[XXXXX540]", + "[XXXXX755]", + "[XXXXX255]", + "[XXXXX459]", + "[XXXXX1090]", + "[XXXXX689]", + "[XXXXX589]", + "[XXXXX122]", + "[XXXXX789]", + "[XXXXX481]", + "[XXXXX1044]", + "[XXXXX274]", + "[XXXXX957]", + "[XXXXX1121]", + "[XXXXX464]", + "[XXXXX495]", + "[XXXXX1097]", + "[XXXXX581]", + "[XXXXX200]", + "[XXXXX954]", + "[XXXXX48]", + "[XXXXX855]", + "[XXXXX419]", + "[XXXXX919]", + "[XXXXX451]", + "[XXXXX869]", + "[XXXXX1082]", + "[XXXXX1185]", + "[XXXXX859]", + "[XXXXX1139]", + "[XXXXX1072]", + "[XXXXX220]", + "[XXXXX465]", + "[XXXXX1105]", + "[XXXXX1093]", + "[XXXXX953]", + "[XXXXX1187]", + "[XXXXX311]", + "[XXXXX403]", + "[XXXXX684]", + "[XXXXX426]", + "[XXXXX68]", + "[XXXXX277]", + "[XXXXX437]", + "[XXXXX896]", + "[XXXXX899]", + "[XXXXX878]", + "[XXXXX1073]", + "[XXXXX774]", + "[XXXXX315]", + "[XXXXX631]", + "[XXXXX223]", + "[XXXXX86]", + "[XXXXX607]", + "[XXXXX149]", + "[XXXXX566]", + "[XXXXX740]", + "[XXXXX265]", + "[XXXXX399]", + "[XXXXX1053]", + "[XXXXX1077]", + "[XXXXX336]", + "[XXXXX734]", + "[XXXXX289]", + "[XXXXX221]", + "[XXXXX580]", + "[XXXXX406]", + "[XXXXX854]", + "[XXXXX673]", + "[XXXXX1146]", + "[XXXXX29]", + "[XXXXX496]", + "[XXXXX241]", + "[XXXXX929]", + "[XXXXX169]", + "[XXXXX1153]", + "[XXXXX440]", + "[XXXXX385]", + "[XXXXX499]", + "[XXXXX718]", + "[XXXXX848]", + "[XXXXX877]", + "[XXXXX641]", + "[XXXXX1137]", + "[XXXXX269]", + "[XXXXX521]", + "[XXXXX234]", + "[XXXXX987]", + "[XXXXX741]", + "[XXXXX349]", + "[XXXXX93]", + "[XXXXX247]", + "[XXXXX961]", + "[XXXXX1120]", + "[XXXXX369]", + "[XXXXX479]", + "[XXXXX892]", + "[XXXXX553]", + "[XXXXX906]", + "[XXXXX571]", + "[XXXXX1046]", + "[XXXXX206]", + "[XXXXX488]", + "[XXXXX445]", + "[XXXXX524]", + "[XXXXX228]", + "[XXXXX998]", + "[XXXXX675]", + "[XXXXX732]", + "[XXXXX1028]", + "[XXXXX494]", + "[XXXXX965]", + "[XXXXX1021]", + "[XXXXX726]", + "[XXXXX168]", + "[XXXXX606]", + "[XXXXX974]", + "[XXXXX504]", + "[XXXXX556]", + "[XXXXX1159]", + "[XXXXX417]", + "[XXXXX1175]", + "[XXXXX1142]", + "[XXXXX753]", + "[XXXXX824]", + "[XXXXX251]", + "[XXXXX345]", + "[XXXXX610]", + "[XXXXX276]", + "[XXXXX783]", + "[XXXXX74]", + "[XXXXX1050]", + "[XXXXX71]", + "[XXXXX360]", + "[XXXXX512]", + "[XXXXX341]", + "[XXXXX375]", + "[XXXXX637]", + "[XXXXX1116]", + "[XXXXX9]", + "[XXXXX738]", + "[XXXXX856]", + "[XXXXX979]", + "[XXXXX825]", + "[XXXXX852]", + "[XXXXX215]", + "[XXXXX91]", + "[XXXXX257]", + "[XXXXX325]", + "[XXXXX368]", + "[XXXXX1124]", + "[XXXXX188]", + "[XXXXX905]", + "[XXXXX284]", + "[XXXXX11]", + "[XXXXX83]", + "[XXXXX611]", + "[XXXXX51]", + "[XXXXX99]", + "[XXXXX288]", + "[XXXXX945]", + "[XXXXX975]", + "[XXXXX282]", + "[XXXXX1068]", + "[XXXXX1180]", + "[XXXXX574]", + "[XXXXX305]", + "[XXXXX565]", + "[XXXXX865]", + "[XXXXX1014]", + "[XXXXX1138]", + "[XXXXX134]", + "[XXXXX321]", + "[XXXXX752]", + "[XXXXX108]", + "[XXXXX339]", + "[XXXXX893]", + "[XXXXX1177]", + "[XXXXX988]", + "[XXXXX719]", + "[XXXXX1059]", + "[XXXXX421]", + "[XXXXX670]", + "[XXXXX949]", + "[XXXXX14]", + "[XXXXX1087]", + "[XXXXX382]", + "[XXXXX531]", + "[XXXXX1079]", + "[XXXXX1067]", + "[XXXXX655]", + "[XXXXX340]", + "[XXXXX398]", + "[XXXXX175]", + "[XXXXX232]", + "[XXXXX244]", + "[XXXXX568]", + "[XXXXX1110]", + "[XXXXX191]", + "[XXXXX931]", + "[XXXXX832]", + "[XXXXX1030]", + "[XXXXX144]", + "[XXXXX1102]", + "[XXXXX300]", + "[XXXXX996]", + "[XXXXX248]", + "[XXXXX66]", + "[XXXXX735]", + "[XXXXX20]", + "[XXXXX694]", + "[XXXXX845]", + "[XXXXX500]", + "[XXXXX613]", + "[XXXXX117]", + "[XXXXX886]", + "[XXXXX261]", + "[XXXXX567]", + "[XXXXX541]", + "[XXXXX529]", + "[XXXXX699]", + "[XXXXX715]", + "[XXXXX1003]", + "[XXXXX518]", + "[XXXXX891]", + "[XXXXX192]", + "[XXXXX53]", + "[XXXXX428]", + "[XXXXX183]", + "[XXXXX850]", + "[XXXXX539]", + "[XXXXX527]", + "[XXXXX660]", + "[XXXXX409]", + "[XXXXX1122]", + "[XXXXX898]", + "[XXXXX858]", + "[XXXXX534]", + "[XXXXX756]", + "[XXXXX63]", + "[XXXXX49]", + "[XXXXX1106]", + "[XXXXX111]", + "[XXXXX955]", + "[XXXXX309]", + "[XXXXX538]", + "[XXXXX823]", + "[XXXXX867]", + "[XXXXX587]", + "[XXXXX243]", + "[XXXXX677]", + "[XXXXX1017]", + "[XXXXX173]", + "[XXXXX682]", + "[XXXXX1184]", + "[XXXXX1009]", + "[XXXXX704]", + "[XXXXX532]", + "[XXXXX901]", + "[XXXXX120]", + "[XXXXX388]", + "[XXXXX405]", + "[XXXXX788]", + "[XXXXX728]", + "[XXXXX425]", + "[XXXXX883]", + "[XXXXX837]", + "[XXXXX350]", + "[XXXXX716]", + "[XXXXX579]", + "[XXXXX909]", + "[XXXXX884]", + "[XXXXX1011]", + "[XXXXX372]", + "[XXXXX370]", + "[XXXXX468]", + "[XXXXX688]", + "[XXXXX56]", + "[XXXXX653]", + "[XXXXX623]", + "[XXXXX552]", + "[XXXXX314]", + "[XXXXX1018]", + "[XXXXX1091]", + "[XXXXX342]", + "[XXXXX1065]", + "[XXXXX1161]", + "[XXXXX959]", + "[XXXXX1035]", + "[XXXXX530]", + "[XXXXX69]", + "[XXXXX489]", + "[XXXXX1]", + "[XXXXX207]", + "[XXXXX433]", + "[XXXXX358]", + "[XXXXX601]", + "[XXXXX2]", + "[XXXXX722]", + "[XXXXX985]", + "[XXXXX908]", + "[XXXXX1024]", + "[XXXXX1111]", + "[XXXXX1113]", + "[XXXXX678]", + "[XXXXX19]", + "[XXXXX1186]", + "[XXXXX808]", + "[XXXXX493]", + "[XXXXX1155]", + "[XXXXX217]", + "[XXXXX616]", + "[XXXXX835]", + "[XXXXX994]", + "[XXXXX484]", + "[XXXXX362]", + "[XXXXX582]", + "[XXXXX1034]", + "[XXXXX772]", + "[XXXXX457]", + "[XXXXX604]", + "[XXXXX456]", + "[XXXXX145]", + "[XXXXX476]", + "[XXXXX218]", + "[XXXXX199]", + "[XXXXX364]", + "[XXXXX302]", + "[XXXXX881]", + "[XXXXX1088]", + "[XXXXX356]", + "[XXXXX936]", + "[XXXXX978]", + "[XXXXX895]", + "[XXXXX993]", + "[XXXXX458]", + "[XXXXX1002]", + "[XXXXX1022]", + "[XXXXX25]", + "[XXXXX766]", + "[XXXXX64]", + "[XXXXX211]", + "[XXXXX82]", + "[XXXXX634]", + "[XXXXX661]", + "[XXXXX748]", + "[XXXXX778]", + "[XXXXX24]", + "[XXXXX448]", + "[XXXXX887]", + "[XXXXX890]", + "[XXXXX754]", + "[XXXXX343]", + "[XXXXX1069]", + "[XXXXX294]", + "[XXXXX295]", + "[XXXXX197]", + "[XXXXX210]", + "[XXXXX630]", + "[XXXXX707]", + "[XXXXX864]", + "[XXXXX391]", + "[XXXXX338]", + "[XXXXX800]", + "[XXXXX841]", + "[XXXXX967]", + "[XXXXX793]", + "[XXXXX916]", + "[XXXXX603]", + "[XXXXX270]", + "[XXXXX105]", + "[XXXXX1016]", + "[XXXXX804]", + "[XXXXX264]", + "[XXXXX155]", + "[XXXXX1190]", + "[XXXXX813]", + "[XXXXX546]" + ], + "bos_token": "[CLS]", + "clean_up_tokenization_spaces": true, + "cls_token": "[CLS]", + "do_lower_case": false, + "eos_token": "[SEP]", + "extra_special_tokens": {}, + "keep_accents": true, + "mask_token": "[MASK]", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "remove_space": true, + "sep_token": "[SEP]", + "sp_model_kwargs": {}, + "tokenizer_class": "AlbertTokenizer", + "unk_token": "" +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..e209f58 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2bb70fb7366e55af41cb756cfcc34562354cdf5e650d02138ed94c67076df3f +size 6353